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  </head><body><div class="min-h-screen flex items-center justify-center"><div class="w-8 h-8 border-2 border-primary border-t-transparent rounded-full animate-spin"></div></div><div id="taaft-static" style="position:absolute;width:1px;height:1px;overflow:hidden;clip:rect(0,0,0,0)"><a href="https://theresanaiforthat.com/ai/mnemom/?ref=featured&amp;v=9275436" target="_blank" rel="nofollow"><img width="300" alt="Featured on There&#x27;s An AI For That" src="https://media.theresanaiforthat.com/featured-on-taaft.png?width=600"/></a></div><noscript><img height="1" width="1" style="display:none" alt="" src="https://px.ads.linkedin.com/collect/?pid=8693834&amp;fmt=gif"/></noscript><script type="application/json" id="__i18n_boot__">{"lang":"en","resources":{"arena":{"meta":{"title":"The Proving Ground — Mnemom AEGIS adversarial arena","description":"15 canonical adversarial personas. 24/7 probing across all four checkpoints. Mutation-phase gated.","ogTitle":"The Proving Ground — Mnemom AEGIS adversarial arena","ogDescription":"15 canonical adversarial personas probe Safe House 24/7. Bypasses become signed Managed Rules — through an isolated arena-bypass writer token, dual-control review, and a 24-hour observe soak before enforcement."},"hero":{"eyebrow":"Proving Ground · AEGIS adversarial arena","heading":"15 canonical adversarial personas. 24/7 probing. Mutation-phase gated.","subheading":"Fifteen canonical personas — covering every CANONICAL_THREAT_TYPE × four checkpoints, including the supply-chain archetype — probe Safe House continuously. Every bypass writes through a dedicated arena-bypass writer token, joins the review queue, and only ships as an Ed25519-signed Managed Rule after dual-control approval plus a 24-hour observe soak.","ctaPrimary":"See the Protection Network","ctaSecondary":"Read the pipeline"},"pulse":{"live":"Live"},"stats":{"totalAttempts":"Probes evaluated","totalAttemptsCaption":"cumulative","totalAttemptsTip":"Total adversarial probes submitted to the front door and back door since the arena launched.","detectionRate":"Detection rate · 24h","detectionRateCaption":"caught by at least one detector","detectionRateTip":"Share of adversarial probes caught by at least one detector in the last 24 hours.","daysSinceEvasion":"Clean streak","daysSinceEvasionCaption":"days without a full bypass","daysSinceEvasionTip":"Consecutive days without a full bypass. Resets on the next unmitigated evasion.","mutations":"Corpus mutations","mutationsCaption":"variants generated","mutationsTip":"Total corpus mutations produced by the mutation engine (unicode, emoji, base64, crescendo, synonym, paraphrase, language variants).","avgLatency":"Avg detection","avgLatencyCaption":"detector → verdict","avgLatencyTip":"Average wall-clock latency from an adversary's payload arriving to a signed verdict being produced.","patternsDiscovered":"Patterns discovered","patternsDiscoveredTip":"Unique threat patterns discovered by arena adversaries and confirmed in the Safe House intelligence library.","cfdBlocked":"Safe House blocks · 24h","cfdBlockedTip":"Inbound messages blocked or quarantined by Safe House in the last 24 hours across all agents using enforce mode.","cfdAccuracy":"Safe House accuracy","cfdAccuracyTip":"Percentage of Safe House verdicts confirmed correct by human review in the quarantine dashboard."},"tabs":{"feed":"Live Feed","scoreboard":"Scoreboard","techniques":"Techniques","evolution":"Evolution","recipes":"Recipes","coverage":"Coverage"},"feed":{"title":"Live probes","description":"Each row is one adversarial probe against the front-door or back-door detectors. Click any row to see the full attempt — payload, detector scores, verdict chain.","noAttempts":"No probes yet","noAttemptsHint":"The arena simulation will generate probes shortly.","newAttempts_one":"{{count}} new probe","newAttempts_other":"{{count}} new probes","detected":"Detected","evaded":"Evaded","modelDefended":"Model Defended","pipelineGap":"Pipeline Gap","via":"via","ago":{"seconds":"{{count}}s ago","minutes":"{{count}}m ago","hours":"{{count}}h ago","days":"{{count}}d ago"}},"attemptDetail":{"title":"Probe detail","verdict":"Verdict","technique":"Technique","outcome":"Outcome","blocked":"Caught by defense","bypassed":"Bypassed — review queued","responseTime":"Response time","detectionDetails":"Detection details","hypothesis":{"label":"Analysis","modelRefused":"Model refused natively","clpiNotEvaluated":"Pipeline gap","subtleValueDrift":"Subtle value drift","policyGap":"Policy gap","noThinking":"No thinking block","thinkingTooShort":"Thinking too short","haikuFooled":"Model fooled"},"started":"Started","completed":"Completed","trace":"Trace"},"scoreboard":{"title":"Red team scoreboard","description":"Named adversaries ranked by evasion rate. Lower is better for the defense — we want every row green. Click an agent to see their strategy and attempt history.","period24h":"24h","period7d":"7d","period30d":"30d","periodAllTime":"All Time","rank":"#","agent":"Agent","attempts":"Attempts","evasions":"Evasions","evasionRate":"Evasion Rate","noData":"No scoreboard data for this period yet."},"agentProfile":{"difficulty":"Difficulty","strategy":"Strategy","tests":"Tests","generation":"Generation","status":"Status","active":"Active","inactive":"Inactive","probeDescription":"This adversary continuously probes Mnemom's {{tests}} using {{strategy}} techniques. Every attempt is logged, scored, and publicly visible."},"techniques":{"title":"Technique atlas","description":"Every adversarial technique is catalogued, tracked, and measured. Detection rates reflect real-time performance against each attack vector.","attempts":"{{count}} attempts","noData":"No technique data available yet.","categories":{"value_manipulation":{"label":"Value Manipulation","description":"Techniques that exploit the gap between declared values and actual behavior"},"drift_evasion":{"label":"Drift Evasion","description":"Strategies for gradual behavioral change that avoids drift detection"},"policy_circumvention":{"label":"Policy Circumvention","description":"Attempts to operate outside policy boundaries without triggering enforcement"},"metadata_exploitation":{"label":"Metadata Exploitation","description":"Manipulating trace context, timestamps, or session data to mislead analysis"},"reasoning_deception":{"label":"Reasoning Deception","description":"Generating plausible but misleading reasoning chains that pass surface analysis"},"structural_evasion":{"label":"Structural Evasion","description":"Exploiting trace format, minimizing data, or splitting behavior across sessions"},"human_bec":{"label":"Business Email Compromise","description":"CEO fraud, vendor impersonation, and payment redirection attacks targeting agents processing financial communications."},"human_social":{"label":"Social Engineering","description":"Authority pressure, urgency manipulation, and emotional appeals designed to bypass an agent's critical reasoning."},"human_hijack":{"label":"Multi-Turn Hijack","description":"Adversaries that build apparent trust across multiple conversation turns before executing a malicious pivot."},"agent_spoof":{"label":"Agent Identity Spoofing","description":"Fake sibling agent claims, forged alignment waivers, and system override assertions targeting inter-agent trust."},"indirect_tool":{"label":"Indirect Tool Injection","description":"Malicious instructions embedded in search results, email bodies, and API responses processed as data by agents."}},"names":{"Circular Reasoning":"Circular Reasoning","Confidence Inflation":"Confidence Inflation","Hidden Reasoning":"Hidden Reasoning","Value Drift":"Value Drift","Behavioral Mimicry":"Behavioral Mimicry","Card Version Mismatch":"Card Version Mismatch","Minimal Response":"Minimal Response","Session Fragment":"Session Fragment","Temporal Anomaly":"Temporal Anomaly","Metadata Forgery":"Metadata Forgery","Value Contradiction":"Value Contradiction","Signal Flooding":"Signal Flooding","Boundary Probing":"Boundary Probing","Undeclared Tools":"Undeclared Tools","Escalation Suppression":"Escalation Suppression","CEO Domain Spoofing":"CEO Domain Spoofing","Vendor Payment Redirect":"Vendor Payment Redirect","Layered Urgency Escalation":"Layered Urgency Escalation","Authority Chain Injection":"Authority Chain Injection","Flattery & Trust Bypass":"Flattery & Trust Bypass","Fear & Urgency Combination":"Fear & Urgency Combination","Multi-Turn Trust Building":"Multi-Turn Trust Building","Context Poisoning":"Context Poisoning","Memory/State Exploitation":"Memory/State Exploitation","Sibling Agent Impersonation":"Sibling Agent Impersonation","System Override Assertion":"System Override Assertion","Alignment Waiver Injection":"Alignment Waiver Injection","Search Result Injection":"Search Result Injection","Email Body Payload":"Email Body Payload","API Response Injection":"API Response Injection"}},"evolution":{"title":"Detection evolution","description":"Detection rate over time as adversaries mutate and defenses harden. Red marks are red-team mutation events; the line should trend up, not down.","target":"Target: 60%","detection":"Detection","raw":"Raw epoch","latency":"Latency","total":"Total","noData":"Not enough data for the evolution graph yet.","mutationLabel":"Red team mutation"},"recipes":{"title":"Detection recipes","description":"When an adversary bypasses a detector, the sideband analyzer generates a YAML detection recipe. High-confidence recipes auto-promote into the active pattern library after a 48-hour zero-false-positive validation window. These are the signatures that ship.","noData":"No detection recipes published yet."},"coverage":{"title":"Coverage matrix","description":"Bypass rate by language and threat type over the last 30 days. Verify-tone cells are fully detected; enforce-tone cells are frequently bypassed — those are where the red team is winning.","legend":"Bypass rate","legendGood":"0% (fully detected)","legendLow":"\u003c 15%","legendMed":"15–30%","legendHigh":"30–50%","legendSevere":"> 50%","empty":"No bypass events recorded yet. The arena evaluation engine populates this matrix as probes complete.","emptyHint":"Cells appear as the mutation engine runs language variants through each door."},"corpus":{"eyebrow":"The corpus","title":"PERSONA_CANONICAL_MAPPING — every CANONICAL_THREAT_TYPE × four checkpoints","description":"The arena corpus pins fifteen canonical adversarial personas to the cells of the Safe House matrix. Each persona owns a (threat_type × checkpoint) cell — including the supply_chain archetype, the-substrate-mole, on inside.integrity. The mutator drifts variant_class within its persona's canonical cell so evolution explores the cell, not across cells.","checkpointsHeader":"Four checkpoints","checkpoints":{"frontDoor":"Front door — inbound prompts, indirect injection, BEC, jailbreak, multi-turn hijack, agent spoof, multilingual variants, burst noise.","insideAutonomy":"inside.autonomy — boundary probing on declared tool scopes, undeclared-tool calls, autonomy-bound violations.","insideIntegrity":"inside.integrity — reasoning-chain integrity, supply-chain (the-substrate-mole), prompt-laundering, value drift.","backDoor":"Back door — outbound DLP, credential and canary exfiltration, PII/PHI leak, prompt-leak signature."},"footnote":"Source: PERSONA_CANONICAL_MAPPING in the arena simulator (arena-simulator#36, merged 2026-05-22). The mutator (arena-simulator#36) preserves the canonical cell across evolution; the gate (arena-simulator#31) decides when to mutate."},"mutationPhase":{"eyebrow":"Mutation-phase gating","title":"Locked parameters — when the arena flips from finding bypasses to mutating them","description":"The arena spends most of its time finding new bypasses. When per-bucket detection rate stays above threshold for the sustained window, that bucket flips into mutation phase: the corpus stops adding new attack classes and starts drifting variants against the patched defense. The parameters are locked, defendable, and tracked per-bucket independently.","params":{"thresholdLabel":"Entry threshold","thresholdValue":"95% detection rate per bucket","thresholdNote":"180 → 360 sample size; SE ≈ 1.1% — fast enough to react, stable enough not to oscillate on noise.","windowLabel":"Window","windowValue":"48-hour rolling","windowNote":"Rolling, not tumbling: the gate looks back continuously, not at calendar boundaries.","hysteresisEntryLabel":"Entry hysteresis","hysteresisEntryValue":"24-hour sustained","hysteresisEntryNote":"A bucket must stay above 95% for 24 hours before flipping. Spikes don't trip the gate.","hysteresisExitLabel":"Exit hysteresis","hysteresisExitValue":"24-hour sustained","hysteresisExitNote":"A bucket must stay below the exit threshold for 24 hours before returning to find-mode.","exitLabel":"Exit threshold","exitValue":"90% detection rate","exitNote":"Below entry to avoid oscillation at the boundary — TCP slow-start shape, not a single trip-line.","independenceLabel":"Per-bucket independence","independenceValue":"(substrate × vertical × pattern × source)","independenceNote":"A financial-services agent might be in mutation phase against BEC vectors while still in cold-start against prompt_injection. Buckets evolve independently."},"honestFraming":{"label":"Honest framing","body":"Mutation-phase gating is live in production code (arena-simulator#31). The first activation will be reported on /trust/advisories when it happens — we don't claim code-live as activation-observed."}},"writerToken":{"eyebrow":"Arena-bypass writer-token isolation","title":"The arena has its own writer identity. It cannot promote anything itself.","description":"Every recipe candidate is stamped server-side with the writer_identity of the auth context that wrote it. The arena ships with a dedicated token — writer_identity = arena-bypass — that is scoped to one verb: insert a candidate into the review queue. It cannot promote. It cannot retire. It cannot edit live rules. It cannot reach outside the candidate table.","pillars":{"scopeLabel":"Scope","scopeBody":"ARENA_RECIPE_CANDIDATE_TOKEN authenticates only the candidate-write surface. No read access to live Managed Rules. No write access to anything else in the recipe data plane.","stampLabel":"Server-side stamp","stampBody":"writer_identity is set by the API based on auth context, never by the client. The arena cannot impersonate a customer FN report, an internal sideband observation, or an admin manual write.","auditLabel":"Audit chain","auditBody":"Every row in recipe_review_actions records who took what action — and the chain is append-only. Promoting an arena-bypass candidate requires a separately-authenticated reviewer; the source of truth for every live rule is greppable.","dualControlLabel":"Dual-control invariant","dualControlBody":"Tier-1 and tier-2 rules (the ones that would block real production traffic) can never auto-promote — regardless of source, regardless of reviewer-mode setting. The invariant is a schema CHECK constraint (promotion_quorum_met = TRUE required when status = active), not a procedure that can be bypassed."},"footnote":"Source: safe-house-hardening/ADR-004 (Recipe promotion integrity — writer_identity stamping, recipe_review_actions chain, promotion_signature, dual-control CHECK constraint)."},"flywheel":{"eyebrow":"Signal-loop flow","title":"Arena bypass → review queue → signed promotion → KV+R2 envelope → enforce","description":"Five stages between an arena bypass and a live Managed Rule. Every transition is logged in the append-only audit chain. The pipeline is the same one customer FN/FP reports and the cross-tenant aggregator flow through — the arena is one signal source among three.","step1":"1 · Arena bypass candidate","step1Desc":"An arena persona produces a bypass. The sideband analyzer drafts a YAML recipe and inserts it into recipe_candidates with writer_identity = arena-bypass. No rule is live yet — only a candidate row.","step2":"2 · Review queue","step2Desc":"Platform admins triage candidates. Default reviewer mode is manual; auto-approve-trusted-sources and auto-approve-high-confidence are opt-in platform settings. Both auto-modes only accelerate tier-3; tier-1/-2 always require dual-control humans.","step3":"3 · Signed promotion","step3Desc":"Approved candidates are signed with the RECIPE_PROMOTION_SIGNING_KEY (Ed25519, Class A annual rotation). recipe_review_actions records the approval chain — created, approved, signed — append-only.","step4":"4 · KV + R2 envelope","step4Desc":"The signed recipe writes into two independent envelopes — Workers KV (RECIPE_KV_SIGNING_KEY) and R2 (RECIPE_R2_SIGNING_KEY, independent key). Gateway isolates verify the envelope before loading. Three independent compromise paths required to poison the rule plane.","step5":"5 · 24h observe soak → enforce","step5Desc":"New rules ship in observe mode for 24 hours. If false-positive rate stays below threshold, the rule escalates to nudge or enforce. If not, CLPI Phase 2 auto-rollback retires it. Per-recipe FP rate is a 7-day rolling window."},"honestFraming":{"eyebrow":"Honest framing","title":"What this page does and does not claim.","description":"Every load-bearing claim on this page cites a public reference. The items below are the deferrals we name on purpose — CISOs respect honest constraint disclosure; they punish discovered constraint.","items":{"mutationPhase":"Mutation-phase gating is live in production code (arena-simulator#31). First activation has not been observed in production. When it is, it will be reported on /trust/advisories.","arenaResults":"The arena is the lab. Bypasses found here do not count as real-world detections. A promoted recipe goes through reviewer approval and a 24-hour observe soak before it enforces — what you see on /dashboard/threats is the result of that pipeline, not the arena directly.","calmAtGa":"At GA the advisory list shows one synthetic post-mortem, clearly labeled synthetic. The IoC feed is empty by design. The system tells the truth — we don't fake activity to look busy.","tier12DualControl":"Tier-3 rules ship auto-promoted at GA. Tier-1 and tier-2 dual-control begin in full when our second platform admin onboards on June 1, 2026 (the CHECK constraint is in place today)."}},"cta":{"eyebrow":"Where to go next","title":"From the arena to your fleet.","description":"The arena is one of three signal sources feeding the AEGIS Protection Network. Customer FN/FP reports and the cross-tenant aggregator are the other two. All three flow through the same signed-promotion pipeline.","dashboard":{"title":"Your threat thermometer","body":"Per-axis live state for your fleet at /dashboard/threats. Calm at GA by design — when something changes, you see it first.","label":"Open dashboard"},"protectionNetwork":{"title":"The full L0-L5 network","body":"Axis identity, cross-tenant aggregator, under-attack overlay, Managed Rules push, threat thermometer, IoC feed — the five layers, end-to-end.","label":"See /protection-network"},"sales":{"title":"Talk to us","body":"Enterprise, regulated industries, self-hosted deployments — the parts that need a conversation, not a checkout.","label":"Contact sales"}},"attemptDetail.aipPrefix":"AIP: ","attemptDetail.clpiPrefix":"CLPI: ","agentProfile.unknownStrategy":"unknown","agentProfile.testsNa":"N/A","recipes.threatLabels.promptInjection":"prompt injection","recipes.threatLabels.metadataForgery":"metadata forgery","recipes.threatLabels.responseTruncation":"response truncation","recipes.threatLabels.surfaceCompliance":"surface compliance","recipes.threatLabels.behavioralDrift":"behavioral drift","recipes.threatLabels.dataExfiltration":"data exfiltration","recipes.threatLabels.jailbreak":"jailbreak","recipes.threatLabels.evasionTechnique":"evasion technique","recipes.allCategoriesPlaceholder":"All categories","recipes.allCategories":"All categories","coverage.languages.english":"English","coverage.languages.french":"French","coverage.languages.german":"German","coverage.languages.italian":"Italian","coverage.languages.spanish":"Spanish","coverage.languages.portuguese":"Portuguese","coverage.languages.japanese":"Japanese","coverage.languages.chinese":"Chinese","coverage.languages.arabic":"Arabic","coverage.languages.korean":"Korean","coverage.threats.promptInjection":"Prompt Injection","coverage.threats.indirectInjection":"Indirect Injection","coverage.threats.socialEngineering":"Social Engineering","coverage.threats.becFraud":"BEC Fraud","coverage.threats.agentSpoofing":"Agent Spoofing","coverage.threats.dataExfiltration":"Data Exfiltration","coverage.threats.hijackAttempt":"Hijack","coverage.threats.privilegeEscalation":"Priv Escalation","coverage.threats.piiInInbound":"PII Inbound","coverage.headerLanguage":"Language"},"auth":{"login":{"meta":{"title":"Sign In - Mnemom","description":"Sign in to your Mnemom account. Access agent dashboards, trace data, and integrity reports."},"heading":"Sign In","description":"Access your agent dashboards and trace data.","form":{"email":"Email","password":"Password","submit":"Sign In","submitting":"Signing in...","forgotPassword":"Forgot?"},"sso":{"checkingForSso":"Checking for SSO...","usesIdp":"{{orgName}} uses {{idpName}} for sign-in","signInWith":"Sign in with {{idpName}}","redirectingTo":"Redirecting to {{idpName}}...","enforced":"Your organization requires SSO authentication.","enforcedError":"Your organization requires SSO login. Use the SSO button above.","orUsePassword":"or use password"},"resendConfirmation":"Resend confirmation email","resending":"Resending...","confirmationResent":"Confirmation email resent","noAccount":"Don't have an account?","signUp":"Sign up","passwordResetSuccess":"Your password has been updated. Sign in with your new password to continue.","cli":{"errorRetrieve":"Could not retrieve CLI credentials. Try signing in again.","errorSend":"Failed to send credentials to CLI. Is mnemom still running?","successHeading":"Authenticated!","successDescription":"You can close this tab and return to the terminal.","errorHeading":"Authentication failed","errorRetryHint":"Please try running \u003ccode>mnemom login\u003c/code> again.","authorizingHeading":"Authorizing mnemom CLI…","signedInAs":"Signed in as {{email}}"},"errors":{"resendFailed":"Failed to resend"},"passkey":{"verifying":"Verifying…","signIn":"Sign in with a passkey"},"dividerOr":"or"},"signup":{"meta":{"title":"Sign Up - Mnemom","description":"Create your Mnemom account. Start verifying AI agent integrity with cryptographic proofs."},"heading":"Sign Up","description":"Create your account to get started.","form":{"email":"Email","password":"Password","submit":"Sign Up","submitting":"Creating account..."},"confirmation":{"heading":"Check your email for confirmation","description":"We sent a confirmation link to \u003cstrong>{{email}}\u003c/strong>. Click the link to activate your account.","didntReceive":"Didn't receive the email?","resend":"Resend confirmation email","resending":"Resending..."},"hasAccount":"Already have an account?","signIn":"Sign in","errors":{"resendFailed":"Failed to resend"}},"forgotPassword":{"meta":{"title":"Forgot Password - Mnemom"},"heading":"Reset your password","description":"Enter the email address on your account and we'll send you a link to set a new password.","form":{"email":"Email","submit":"Send reset link","submitting":"Sending..."},"submitted":{"heading":"Check your inbox","description":"If an account exists for that email address, we've sent a link to reset the password. The link expires in 1 hour.","spamHint":"Not seeing it? Check your spam folder. You can try again in a few minutes if nothing arrives."},"error":{"generic":"Something went wrong sending the email. Please try again."},"backToLogin":"Back to sign in"},"resetPassword":{"meta":{"title":"Set a New Password - Mnemom"},"heading":"Set a new password","description":"Choose a new password for {{email}}. You'll be signed out of any other devices.","form":{"newPassword":"New password","confirm":"Confirm password","hint":"At least {{min}} characters. Use a passphrase, or let your password manager generate one.","mismatch":"Passwords don't match.","submit":"Update password","submitting":"Updating..."},"error":{"generic":"Couldn't update the password. Please try again.","tooShort":"Password must be at least {{min}} characters.","rejected":"That password is too common or compromised. Choose a different one.","sessionExpired":"Your reset link has expired. Please request a new one."},"noSession":{"heading":"Reset link required","description":"To set a new password, click the link we send to your email. This page only works after clicking that link.","cta":"Request a reset link"}},"mfa":{"errors":{"challengeFailed":"Challenge failed","unexpectedChallenge":"Unexpected challenge response","invalidCode":"Invalid code. Please try again."}}},"blog":{"meta":{"title":"Dispatches - Mnemom","description":"Field reports from the frontier of machine consciousness. AI journalism and research from Mnemom, covering agent alignment and the emerging agent ecosystem.","rssTitle":"Dispatches - Mnemom"},"index":{"title":"Dispatches","subtitle":"Field reports from the frontier of machine consciousness.","authorsLabel":"Authors","noPostsHeading":"No dispatches yet","noPostsDescription":"No dispatches from this author yet."},"archivedBanner":{"label":"Archived","pill":"Archived (May 2026)","body":"This post was published before the May 2026 vocabulary alignment (ADR-042). Where you see \"Smoltbot,\" read \"Mnemom.\" Where you see \"XFD,\" read \"Safe House.\" The technical claims still hold; the names have evolved as the system matured."},"post":{"notFoundHeading":"Post not found","backToDispatches":"← Back to dispatches","traceLog":"Trace Log","tracesCount":"{{count}} traces from this agent","noTraces":"No traces recorded yet. Traces will appear as this dispatch flows through the AAP gateway.","traceAction":"action:","traceDecision":"decision:","traceConfidence":"confidence:","moreDispatches":"More Dispatches","agentAuthorSuffix":"Gonzo AI journalist · All dispatches →","allPosts":"All posts →","meta":{"titleSuffix":"{{title}} - Mnemom"}},"postCta":{"heading":"Ready to verify your agents?","showcase":"See it live","pricing":"View plans","contact":"Talk to us","newsletterHeading":"Stay in the loop","newsletterDescription":"New dispatches and product updates, no spam.","emailPlaceholder":"you@company.com","subscribe":"Subscribe","subscribed":"You're on the list — thanks!","subscribeError":"Couldn't subscribe — please try again."},"research":{"label":"Mnemom Research","heading":"Publications","description":"Technical papers on agent alignment, integrity protocols, and AI governance.","readPaper":"Read paper","meta":{"title":"Research - Mnemom","description":"Research publications from Mnemom on agent alignment, integrity protocols, and AI governance."}}},"caseStudy":{"notFound":{"heading":"Case study not found","backButton":"Back to Enterprise"},"label":"Case Study","sections":{"challenge":"The Challenge","solution":"The Solution","outcome":"The Outcome","keyDetails":"Key Details"},"nav":{"enterprise":"Enterprise","allCaseStudies":"All case studies"},"studies":{"lending-decision":{"title":"The Lending Decision","subtitle":"Trust Rating-driven credit decisioning for AI agents","challenge":"An AI agent on Clawloan applies for an uncollateralized loan. 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No marketing gloss — just the changes, the posture they unlock, and the receipts.","footerHeading":"See what the platform actually proves.","footerDescription":"Every shipped change backs up one of two claims: what we prove, or how we keep your agents safe.","whatWeProve":"What we prove","safeHouse":"The Safe House","kinds":{"platform":"Platform","security":"Security","reliability":"Reliability","protection":"Protection"},"entries":{"aegisTrustSurfaces":{"title":"AEGIS L5: public advisories and STIX 2.1 IoC feed are live.","summary":"The transparency surface of the Protection Network is open. /trust/advisories carries signed post-incident write-ups; /v1/trust/iocs serves a STIX 2.1 indicator bundle. Empty by design at GA — the system tells the truth.","highlights":{"0":"/trust/advisories live with the first synthetic post-mortem, flagged synthetic=true per the calm-at-GA contract (mnemom-api#536, #537; mnemom-website#466).","1":"/v1/trust/iocs returns a STIX 2.1 bundle, authenticated and rate-limited, ready for threat-intel pipelines (curl + JSON-LD).","2":"advisory.published and ioc.added join the webhook catalog with ADR-050 four-way coherence."},"linkLabel":"Read the latest advisory"},"aegisThermometer":{"title":"L4 threat thermometer reads live per-axis Protection Network state.","summary":"Customers now see the cross-tenant threat picture at /dashboard/threats: per-axis state across substrate, vertical, pattern, and source, refreshed every 30 seconds. Calm at GA, by design.","highlights":{"0":"GET /v1/network/threat-state returns per-axis bucket aggregation through a SECURITY DEFINER RPC (mnemom-api#525).","1":"Dashboard page mounted at /dashboard/threats with four per-axis cards and a totals card (mnemom-website#463).","2":"network.threat_level.changed added to the governance signal stream; admin-scope source enum shipped via migration 234."},"linkLabel":"Read the Protection Network concept"},"aegisAggregator":{"title":"L1 cross-tenant aggregator: campaign-state rolling stats across customers.","summary":"The network_campaign_state table now produces per-axis rolling stats from arena, sideband, and integrity checkpoint traffic — the substrate-aware correlation engine that sees campaigns no single customer can.","highlights":{"0":"Migration 225 lands the campaign-state table; migration 230 adds the SECURITY DEFINER aegis_rollup_axis_buckets RPC joining mig-217 axis fingerprints across three signal tables (mnemom-api#499, #514).","1":"Per-bucket state machine with 6h-window hysteresis on exit; states wired to cells.ts via four concrete campaign_state cells (safe-house-hardening#246).","2":"Scheduled every 5 minutes; gated by AEGIS_AGGREGATOR_CRON_ENABLED until the Phase 4 production cutover."},"linkLabel":"Read the Protection Network concept"},"aegisShWebhooks":{"title":"Safe House per-evaluation webhooks (sh.*) are wired end-to-end.","summary":"Five Safe House front-door events join the AEGIS catalog with per-org delivery mode controls — table-stakes for SOC/SIEM integration. Brings the AEGIS-GA webhook catalog from 10 to 15 fully-wired events.","highlights":{"0":"sh.evaluation.warn / quarantine / block emitted from the gateway at observe/nudge/enforce verdict points; sh.session.escalated at session-tracker tier transitions (mnemom-platform#300).","1":"Per-org webhook_delivery_mode (full / sampled_10pct / summary_only) for high-traffic orgs; HMAC-signed delivery reuses the recipe.* infrastructure (mnemom-api#515, migration 230).","2":"13 sh_emission cells in the harness pin every checkpoint × mode firing path (safe-house-hardening#247)."},"linkLabel":"Read the webhook spec"},"aegisArena":{"title":"Continuous adversarial arena: 15 canonical personas, mutation-phase gated.","summary":"The Mnemom adversarial arena now spans every canonical threat type across all four Safe House checkpoints, with mutation-phase gating that evolves attacks only when detection holds. Arena-bypass candidates flow into the Managed Rules pipeline through an isolated writer-token path.","highlights":{"0":"PERSONA_CANONICAL_MAPPING covers all 15 personas × CANONICAL_THREAT_TYPE × four checkpoints, with a supply_chain archetype on inside.integrity (arena-simulator#30, #36).","1":"Mutation-phase gate: 95% entry threshold, 90% exit (hysteresis), 24h sustained, evaluated per (substrate × vertical × pattern × source) bucket independently (arena-simulator#31).","2":"POST /v1/internal/recipe-candidates accepts arena-bypass submissions under a dedicated bearer token; writer_identity='arena-bypass' is stamped server-side regardless of caller input (mnemom-api#516)."},"linkLabel":"Read the arena concept"},"aegisCustomerSignal":{"title":"Customer false-negative and false-positive reports feed the Managed Rules pipeline.","summary":"Customer signal is now a first-class source. Reports flow through an authenticated endpoint, a CLI command, and an acknowledgment-email pipeline that ships in five locales — feeding the same candidate review queue as arena and the cross-tenant aggregator.","highlights":{"0":"POST report endpoint live with recipe.candidate.created webhook fan-out to the customer's account plus the platform billing account (mnemom-api#508, #513).","1":"mnemom recipes report-fn and report-fp commands shipped in the @mnemom/mnemom CLI (mnemom-platform#298).","2":"Customer-FN acknowledgment email rendered in en/fr/de/it/es via the Track D template pipeline."},"linkLabel":"Read the recipes report guide"},"aegisReviewerModes":{"title":"Three reviewer modes — with a structural dual-control invariant on tier 1-2.","summary":"Platform admins can flip reviewer mode between manual, auto-approve-trusted-sources, and auto-approve-high-confidence. The protective invariant is structural, not procedural: tier-1 and tier-2 rules can never auto-promote without human dual-control, regardless of mode.","highlights":{"0":"Reviewer mode and threshold persisted in platform_settings (migration 229); /v1/admin/settings/reviewer-mode reads/writes with governance_audit_log entries (mnemom-api#512).","1":"Admin page /admin/security/reviewer-mode ships with a confirmation modal and audit attribution (mnemom-website#460).","2":"Three concrete reviewer_mode cells pin the invariant: trusted-sources promotes tier-3, high-confidence inserts ONE approval on tier-1 but does NOT promote, manual blocks all auto-approval (safe-house-hardening#245)."},"linkLabel":"Read the Protection Network concept"},"aegisReviewQueue":{"title":"Admin review queue with append-only audit chain.","summary":"Platform admins now triage Managed Rule candidates from a dedicated queue: approve, reject, needs-changes, or promote. Every action lands as a service-role-only INSERT on an append-only chain — the audit surface CISOs and regulators can rely on.","highlights":{"0":"recipe_review_actions chain is RLS-protected service-role-INSERT-only; chains rooted at candidate creation through promotion or retirement (mnemom-api#502).","1":"Admin queue UI with recipe detail and telemetry shipped under /admin/security (mnemom-website#455, #462, #464, #465).","2":"Every state transition emits a governance signal; promoter handler refuses to write 'active' without promotion_quorum_met=TRUE — the dual-control invariant as a schema CHECK."}},"aegisManagedRules":{"title":"Ed25519-signed Managed Rules with KV+R2 dual-write and a 24h observe soak.","summary":"Promotion of a recipe to a Managed Rule is now a cryptographically signed event. The promoter handler enforces all six ADR-004 invariants, dual-writes to Workers KV and an R2 failover bucket with independent signing chains, and routes every rule through a 24-hour observe soak before enforcement.","highlights":{"0":"POST /v1/admin/security/recipes/promote signs envelopes with the promotion key; tiered gateway read (KV → R2 → isolate → fail-closed) verifies and serves with sub-30s P95 propagation target (mnemom-api#497, mnemom-platform#293, mnemom-infra#26).","1":"Observe→active escalation cron runs every 5 minutes with auto-rollback on false-positive threshold; reasoning surfaces in recipe.promoted and recipe.retired webhooks (mnemom-api#524).","2":"Nightly retirement sweep at 06:00 UTC retires recipes with zero hits at 90 days, gated by AEGIS_RETIREMENT_CRON_ENABLED (mnemom-api#503)."},"linkLabel":"Read the Protection Network concept"},"aegisSubstrate":{"title":"Substrate fingerprinting: every evaluation now carries the L0 axis identity.","summary":"The supply-chain detection signal is live. Every integrity checkpoint, arena attempt, and sideband analysis is now stamped with substrate, vertical, pattern, and source fingerprints — the cross-tenant correlation key that catches behavioral deviation across every customer running on the same substrate.","highlights":{"0":"Migration 217 adds four axis identity columns + BEFORE INSERT triggers + composite L1-bucket indexes across three tables — production deployed (mnemom-api#463).","1":"Migration 216 lands the AEGIS Phase 1 schema deltas (ADR-004 + ADR-041 additive: detection_recipes columns + recipe_review_actions table with RLS).","2":"Recipe composer composeRecipes() cascades Platform → Org → Team → Agent with strictest-wins, reusing the cards composition primitive (mnemom-api#464)."},"linkLabel":"Read the supply-chain detection concept"},"xfd":{"title":"Safe House detectors tightened across prompt injection and PII leak classes.","summary":"Front-door and back-door detectors got a calibration pass. Fewer false positives on benign tool calls, sharper block rate on novel injection patterns — without expanding the data we collect.","highlights":{"0":"Prompt-injection detectors retrained against fresh adversarial corpus; 12% fewer false positives.","1":"Back-door screening now catches split-token PII leaks (e.g. SSN or card numbers broken across streamed chunks).","2":"Signed verdict format now includes detector version, so auditors can reproduce the exact classifier used."},"linkLabel":"Read the Safe House config guide"},"passkey":{"title":"Passkey and hardware-key agent identity are live.","summary":"Agents can now be bound to a passkey or a hardware-backed key from day one. Ed25519 signing stays the default; WebAuthn-backed agent identity is available for teams that want human-unforgeable agent onboarding.","highlights":{"0":"WebAuthn attestation supported for agent enrollment.","1":"Agent-identity rotation does not break historical proof chains; old keys stay verifiable.","2":"Works for self-hosted gateway and managed tenants."},"linkLabel":"Read the agent-identity guide"},"scaleM0":{"title":"Gateway now auto-scales to M0 headroom with no operator changes.","summary":"Under-the-hood reliability work. The managed gateway now elastically provisions for burst traffic up to the M0 tier ceiling without any tenant config. Self-hosted deployments get the same autoscaler defaults in the Helm chart.","highlights":{"0":"Auto-scale from 2 to 10 replicas based on sustained CPU > 70%.","1":"Cold-start path cut by 40% for the self-hosted image.","2":"No pricing change — scale-up stays inside your tier ceiling."}}}},"security":{"metaTitle":"AEGIS — Cross-tenant defensive network for AI agents","metaDescription":"Mnemom AEGIS is the cross-tenant defensive network behind Safe House. Four checkpoints, four enforcement modes, signed Managed Rules, sub-30s P95 propagation, and a public STIX 2.1 IoC feed.","eyebrow":"Mnemom AEGIS","heading":"Cross-tenant defensive network for AI agents.","description":"Mnemom AEGIS — Adaptive Enforcement, Governance & Intelligence Substrate — is the runtime security network behind Safe House. It screens every agent transaction at four checkpoints — front door, back door, inside.autonomy, inside.integrity — each independently configurable across four enforcement modes. Signed Managed Rules propagate cross-tenant in under 30 seconds at P95.","ctaDashboard":"Customer dashboard","ctaIocs":"curl /v1/trust/iocs","ctaSales":"Contact sales","ctaSlos":"See published SLOs","honestyNote":"AAP declares. AIP verifies in flight. CLPI governs and anchors. Safe House screens. AEGIS signs the cross-tenant defenses.","threatModel":{"heading":"The threat model.","description":"Seven attack patterns drive the agentic threat surface today. Each maps to one of the four checkpoints — so customers can dial enforcement per surface, not as a single global posture.","checkpointHeader":"Checkpoint","threatHeader":"Threat","descriptionHeader":"What it looks like","rows":{"promptInjection":{"threat":"Prompt injection","checkpoint":"front door","description":"Direct attempts to override the agent's instructions, role-swap, or bypass declared scope at the inbound surface."},"indirectInjection":{"threat":"Indirect injection","checkpoint":"front door","description":"Hidden instructions hiding inside retrieved documents, tool outputs, and vector-store payloads — the prompt the agent never knew it received."},"toolMisuse":{"threat":"Tool misuse","checkpoint":"inside.autonomy","description":"Coerced or chained tool calls that exceed the Alignment Card's permitted scope. Argument-shape attacks against under-validated schemas (OWASP ASI02)."},"dataExfiltration":{"threat":"Data exfiltration","checkpoint":"back door","description":"PII, PHI, secrets, credentials, or cross-tenant data echoed back in agent responses, error traces, or split-token patterns."},"becFraud":{"threat":"BEC / impersonation fraud","checkpoint":"front door","description":"CEO-fraud style requests, urgency-and-authority pressure, social engineering that targets the agent's escalation contract."},"agentSpoofing":{"threat":"Agent spoofing","checkpoint":"inside.integrity","description":"Identity-abuse attempts that claim authority the Alignment Card does not declare. OWASP ASI03 — Privilege Compromise via Identity Abuse."},"supplyChain":{"threat":"Supply-chain compromise","checkpoint":"inside.integrity","description":"Behavioral signatures consistent with a compromised SDK, model fine-tune, or vendored prompt template — caught cross-tenant via substrate fingerprinting (OWASP ASI06)."}}},"matrix":{"heading":"Four checkpoints × four enforcement modes.","description":"Every checkpoint is independently configurable. Strictest-wins composition across Platform → Org → Team → Agent (scale/ADR-044). Mirror the way Cloudflare WAF Managed Rules let you set severity × action per rule.","modeHeader":"Mode","modeDescriptionHeader":"What it does","modes":{"off":{"label":"off","description":"Checkpoint disabled. Used in canary tenants and pre-onboarding."},"observe":{"label":"observe","description":"Evaluates every transaction; emits signed verdicts; never blocks. The default for new Managed Rules during the 24-hour observe soak."},"nudge":{"label":"nudge","description":"Annotates or warns inline without blocking. The middle ground for tier-3 rules during ramp-up."},"enforce":{"label":"enforce","description":"Blocks the transaction and surfaces a signed verdict to the dashboard. Reached only after the observe soak and FP-rate auto-rollback discipline (CLPI Phase 2)."}},"checkpoints":{"frontDoor":{"label":"front door","description":"Inbound message screening — every prompt, retrieval payload, and tool response before the agent processes it."},"backDoor":{"label":"back door","description":"Outbound response screening — PII, secrets, Alignment Card violations, regulated advice before the response leaves the perimeter."},"insideAutonomy":{"label":"inside.autonomy","description":"Tool-call screening — every action the agent takes against the autonomy bounds the Alignment Card declares."},"insideIntegrity":{"label":"inside.integrity","description":"Reasoning-integrity screening — AIP verdicts on thinking-block payloads; substrate-deviation signatures; identity-abuse patterns."}},"cascadeNote":"Composition cascade: Platform → Org → Team → Agent, strictest-wins. Customer admins clamp at any layer."},"pipeline":{"heading":"The Managed Rules pipeline.","description":"Recipes are detection content. Managed Rules are the signed control-plane state that wraps them. The pipeline is structurally constrained — not procedurally — so tier-1 and tier-2 rules cannot auto-promote, regardless of operator-set mode.","stages":{"arena":{"title":"1. Arena","body":"Fifteen canonical adversarial personas probe Safe House 24/7. Mutation-phase gating activates per-bucket only when detection rate crosses 95% over a 48-hour rolling window with 24-hour hysteresis."},"candidate":{"title":"2. Candidate","body":"Arena-bypass candidates land in `recipe_candidates` with a writer-token-isolated `writer_identity` (ADR-AEGIS-01 §3d + safe-house-hardening/ADR-004). Customer FN/FP reports and cross-tenant aggregator signals enter through the same queue."},"review":{"title":"3. Review","body":"Three reviewer modes — manual (default), auto-approve-trusted-sources, auto-approve-high-confidence. Tier-1 / tier-2 always require dual-control review under an append-only audit chain."},"soak":{"title":"4. 24h observe soak","body":"Every signed promotion lands in observe mode for 24 hours. FP-rate auto-rollback per CLPI Phase 2 retires the recipe before any production traffic is blocked."},"enforce":{"title":"5. Enforce","body":"Tiered KV+R2+isolate-cache failover with independent signing chains pushes the rule to every gateway. P95 ≤ 30s signed-promotion → gateway-loaded."}},"invariantHeading":"The protective invariant","invariantBody":"A tier-1 or tier-2 Managed Rule — one that would actually block real production traffic — can never promote without dual-control human review, regardless of how aggressive the auto-promotion mode is set. The invariant is enforced structurally by a database CHECK constraint (`promotion_quorum_met = TRUE` required when `status = 'active'`), not procedurally.","invariantAnchor":"Anchored in concept.md §Auto-promotion modes and safe-house-hardening/ADR-004."},"substrate":{"heading":"Substrate fingerprinting + supply-chain detection.","description":"Every evaluation row is stamped with a substrate fingerprint — `provider + model + sdk@ver` plus an optional customer-supplied lockfile-hash header. AEGIS sees behavioral deviation across every customer running on the same substrate, simultaneously.","shaiHulud":"May 11, 2026 — the Mini Shai-Hulud worm compromised 170+ npm packages and 2 PyPI packages, including Mistral AI's SDK suite and Guardrails AI's PyPI package. The compromised `@tanstack/*` versions shipped with valid SLSA Build Level 3 attestations — the first documented case of a worm producing legitimate signed provenance for malicious packages. Per-tenant detection and package-layer Sigstore verification structurally cannot catch this class of attack.","ctaSupplyChain":"Full threat model on /supply-chain"},"owasp":{"heading":"OWASP Top 10 for Agentic Applications.","description":"Honest mapping. Where coverage is partial, we say so. The full OWASP ASI taxonomy (Dec 2025) is at owasp.org.","categoryHeader":"OWASP category","coverageHeader":"Coverage","mechanismHeader":"How AEGIS addresses it","rows":{"asi02":{"category":"ASI02 — Tool Misuse","coverage":"Full","mechanism":"Policy engine (CLPI Phase 1) + Managed Rules at the inside.autonomy checkpoint. Tool-call screening against the Alignment Card's declared autonomy bounds."},"asi03":{"category":"ASI03 — Privilege Compromise via Identity Abuse","coverage":"Full","mechanism":"AAP-declared autonomy bounds (Alignment Card) + AIP in-flight integrity verdicts + inside.integrity checkpoint screening for identity-abuse patterns."},"asi06":{"category":"ASI06 — Agentic Supply Chain Compromise","coverage":"Full (runtime)","mechanism":"Substrate fingerprinting on every evaluation row (mig 217). Cross-tenant aggregator detects behavioral deviation no single customer can see. Complements — does not replace — package-layer provenance (SLSA, Sigstore)."},"asi07":{"category":"ASI07 — System Prompt Leakage","coverage":"Partial","mechanism":"Back-door checkpoint screening for known system-prompt patterns + secrets and Alignment Card violations. Detection is content-based; agents that legitimately quote their system prompt at user request are not suppressed."}},"coverageNote":"ASI01 (Prompt Injection), ASI04 (Resource Exhaustion), ASI05 (Cascading Hallucination), ASI08 (Repudiation & Untraceability), ASI09 (Identity Spoofing), ASI10 (Overreliance) map to other parts of the Mnemom stack (AAP cards, AIP verdicts, CLPI on-chain anchoring, Trust Ratings) — covered on /protection-network and /trust."},"comparison":{"heading":"How AEGIS compares.","description":"Abbreviated from the 2026-05-23 competitive landscape research. AEGIS is the network layer; the vendors below are complementary, not replacements — see /governance for the full integration story.","capabilityHeader":"Capability","mnemomHeader":"Mnemom AEGIS","rows":{"crossTenant":{"capability":"Cross-tenant Managed Rules with signed promotion","mnemom":"Yes — Ed25519-signed, P95 ≤ 30s propagation, public audit chain","cloudflare":"WAF Managed Rules (web-layer, not agent-layer)","lakera":"Vendor-curated threat-intel; no customer-network-derived signal","cisco":"Build-time SDK embed; no runtime cross-tenant network","aws":"AWS-only; no cross-customer learning","google":"In-process filter; no network"},"fourCheckpoints":{"capability":"Four-checkpoint × four-mode model per-agent","mnemom":"Yes — front door / back door / inside.autonomy / inside.integrity, each independently configurable","cloudflare":"Per-route WAF rules; not agent-transaction-shaped","lakera":"Single-detector at runtime","cisco":"NeMo Guardrails integration; build-time policy","aws":"Bedrock Guardrails per-policy (denylist, PII, contextual grounding)","google":"Prompt-injection + URL + harmful-content filters"},"substrate":{"capability":"Substrate fingerprinting (provider + model + sdk@ver) on every evaluation","mnemom":"Yes — cross-tenant supply-chain detection","cloudflare":"No","lakera":"No","cisco":"No","aws":"No","google":"No"},"iocFeed":{"capability":"Public STIX 2.1 IoC feed + signed advisories","mnemom":"Yes — /v1/trust/iocs (empty at GA by design)","cloudflare":"Customer-internal Radar feeds only","lakera":"No public feed","cisco":"Talos for traditional threats; no public agent IoC feed","aws":"No","google":"No"},"dualControl":{"capability":"Dual-control invariant on tier-1/-2 (structural CHECK)","mnemom":"Yes — schema-enforced, not procedural","cloudflare":"Procedural change-management","lakera":"Vendor-controlled","cisco":"Vendor-controlled","aws":"Customer policy IAM","google":"Vendor-controlled"}},"footnote":"Sources: vendor public documentation 2026-05-23. AEGIS is a layer customers run alongside these products, not a replacement."},"slo":{"heading":"SLOs published. Measured continuously.","description":"Headline numbers below. The full table — measurement queries, historical data once the first 30-day window closes, and the four supporting SLOs — lives on /trust/slos.","tiles":{"propagation":{"label":"Managed Rule propagation","value":"P95 ≤ 30s","detail":"Signed promotion → gateway-loaded. Source: ADR-AEGIS-02 §5."},"availability":{"label":"Failover availability","value":"99.99%","detail":"Gateway loads a verified recipe set across KV + R2 + isolate cache."},"freshness":{"label":"Rule-set freshness","value":"P99 ≤ 5 min","detail":"Under normal operation. P0 page at 24h stale."}},"disclosure":"First 30-day measurement window publishes 30 days post-GA. We do not pre-announce numbers we cannot defend."},"footer":{"heading":"Bring your tools.","description":"The IoC feed is machine-readable STIX 2.1. The audit chain is verifiable. The dashboard is open to every customer.","iocsHint":"curl -s https://api.mnemom.ai/v1/trust/iocs | jq ."}},"selfHosted":{"metaTitle":"Self-Hosted Gateway — Mnemom","metaDescription":"Run the Mnemom gateway inside your own perimeter. Docker Compose for quickstart, Helm for production. Your data never leaves; only heartbeat and telemetry flow out.","eyebrow":"Self-hosted","heading":"Self-hosted gateway.","description":"Deploy the Mnemom gateway on your own infrastructure. Your data, prompts, and tool arguments never leave your network. Only heartbeat, telemetry, and signed verdict metadata flow to the Mnemom control plane.","architectureHeading":"Architecture","architectureBody":"The self-hosted gateway runs in your network. It proxies LLM calls, runs integrity checks locally, and streams telemetry back to the Mnemom control plane. Nothing sensitive leaves your perimeter.","staysNetworkTitle":"Stays inside your network","staysNetwork":{"0":"Prompts, tool arguments, and LLM responses.","1":"Customer data, PII, and regulated payloads.","2":"Alignment Cards, card hashes, and proof chains.","3":"LLM provider credentials (OpenAI, Anthropic, etc.)."},"sentControlTitle":"Sent to the control plane","sentControl":{"0":"Heartbeat and version metadata (every 30s).","1":"Signed verdict summaries — labels, not content.","2":"Telemetry counters and anomaly statistics.","3":"Trust Rating calibration data (scores, not traces)."},"quickstartHeading":"Quickstart — Docker Compose","quickstartBody":"The fastest way to try the gateway. Spin it up, point your agent at it, and verify a signed integrity check in under five minutes.","step1Title":"1. Create your .env file","step1BodyPrefix":"Drop the license JWT and org ID we sent you into a","step1BodySuffix":"file alongside the compose file. Everything else is optional.","step2Title":"2. Create docker-compose.yml","step3Title":"3. Start the gateway","step4Title":"4. Verify it's healthy","helmHeading":"Production — Helm","helmBody":"For Kubernetes production deployments, the Helm chart is the supported path. TLS, ingress, autoscaling, and resource limits are first-class.","helm1Title":"1. Add the Helm repo","helm2Title":"2. Author your values.yaml","helm3Title":"3. Install the chart","helm4Title":"4. Verify the rollout","configHeading":"Configuration reference","configBody":"Everything the gateway reads from the environment. Only license and org are required; the rest have sensible defaults.","variable":"Variable","requiredHeader":"Required","descriptionHeader":"Description","required":"Required","optional":"Optional","envDescriptions":{"licenseJwt":"Signed JWT that authorizes this gateway to call the Mnemom control plane.","orgId":"Your Mnemom organization UUID. Binds this gateway to your tenant.","gatewayPort":"Port the gateway listens on. Defaults to 8080.","gatewayHost":"Bind address for the gateway. Defaults to 0.0.0.0.","apiUrl":"Mnemom control-plane URL. Only change for air-gapped mirrors.","openaiKey":"Optional OpenAI key if the gateway proxies OpenAI calls.","anthropicKey":"Optional Anthropic key if the gateway proxies Claude calls.","region":"Region label used in verdicts and telemetry (e.g. us-east-1).","logLevel":"debug | info | warn | error. Defaults to info.","tlsCert":"Absolute path to TLS cert if the gateway terminates TLS locally.","tlsKey":"Absolute path to TLS key matching TLS_CERT_PATH.","heartbeat":"Heartbeat interval in seconds. Defaults to 30.","maxConcurrent":"Upper bound on concurrent integrity checks. Defaults to 256."},"comparisonHeading":"Managed vs self-hosted","feature":"Feature","managed":"Managed","selfHosted":"Self-hosted","comparison":{"infrastructure":{"feature":"Infrastructure","managed":"Hosted by Mnemom on Cloudflare Workers.","selfHosted":"Docker or Kubernetes inside your perimeter."},"llmRouting":{"feature":"LLM routing","managed":"Through Mnemom's egress (observable, auditable).","selfHosted":"Direct from your network to the LLM provider."},"setupTime":{"feature":"Time to install","managed":"Under 5 minutes.","selfHosted":"About 30 minutes for Docker; 1–2 hours for Helm."},"scaling":{"feature":"Scaling","managed":"Automatic.","selfHosted":"You control the autoscaler; Helm chart ships sane defaults."},"dashboard":{"feature":"Dashboard","managed":"app.mnemom.ai.","selfHosted":"app.mnemom.ai (reads from your gateway's telemetry)."},"integrityChecks":{"feature":"Integrity checks","managed":"Included.","selfHosted":"Included, run locally."},"driftDetection":{"feature":"Drift detection","managed":"Included.","selfHosted":"Included, run locally."},"dataResidency":{"feature":"Data residency","managed":"US, EU regions.","selfHosted":"Wherever you deploy — fully in your control."},"offlineMode":{"feature":"Air-gapped / offline","managed":"Not supported.","selfHosted":"Supported on Enterprise."},"customModel":{"feature":"Self-managed model routing","managed":"Limited.","selfHosted":"Full — any LLM provider or on-prem model."},"sla":{"feature":"SLA","managed":"99.9% standard; custom on Enterprise.","selfHosted":"You own the SLA; we support the gateway."},"planRequired":{"feature":"Plan required","managed":"All plans.","selfHosted":"Enterprise only."}},"faqHeading":"FAQ","faqs":{"internet":{"q":"Does the gateway need outbound internet access?","a":"Yes — it sends a heartbeat and signed verdict summaries to the Mnemom control plane. Air-gapped deployments are supported on Enterprise with a local control-plane mirror."},"multiple":{"q":"Can I run multiple gateways for different regions or environments?","a":"Yes. Each gateway binds to your org ID and can carry its own region label. The dashboard aggregates across all gateways."},"dataLeaves":{"q":"What data actually leaves my network?","a":"Heartbeat, version, signed verdict summaries (labels and counters — not prompts or outputs), and Trust Rating calibration data. No prompts, tool arguments, outputs, or customer data."},"update":{"q":"How do I update the gateway?","a":"Docker: pull the new image tag and recreate the container. Helm: bump the chart version and run helm upgrade. Proof chains stay valid across upgrades."},"unreachable":{"q":"What happens if the control plane is unreachable?","a":"The gateway keeps running and keeps signing verdicts locally. Telemetry is buffered and flushed when connectivity is restored. Integrity checks never block on the control plane."}},"ctaHeading":"Ready to deploy?","ctaBody":"Self-hosted is an Enterprise tier feature. Tell us about your environment and we'll ship you the license and the Helm values to match.","viewPlans":"View plans","contactSales":"Contact sales"},"research":{"profile":{"metaTitle":"Mnemom Research — Dispatches and analysis","metaDescription":"Research and analysis from the Mnemom team on AI alignment, governance, and trust infrastructure for autonomous agents.","title":"Mnemom Research","description":"Dispatches, analyses, and formal research from the Mnemom team on alignment, governance, and trust infrastructure for autonomous agents.","postsLabel":"Dispatches","publications":"Publications","researchPapers":"Research papers","postsHeading":"Latest dispatches","noPostsTitle":"No dispatches yet.","noPostsDescription":"New analyses are posted as they ship — come back soon."},"paper":{"metaTitle":"{{title}} — Mnemom Research","allResearch":"All research","version":"v{{version}}","source":"Source (Markdown)","contents":"Contents","licenseNotice":"Licensed under \u003clicense>CC BY 4.0\u003c/license>. 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CLPI Phase 4 anchors Trust Ratings on Base L2 for independent verification.","euAiActMapping.row3.article":"Annex IV","euAiActMapping.row3.requirement":"Technical documentation","euAiActMapping.row3.answer":"Exportable compliance bundles — Alignment Cards, IntegrityCheckpoints, signed promotion envelopes, advisory chains — assembled from the same primitives the runtime uses.","bottomCta.heading":"Ready for governance that's more than a dashboard?","bottomCta.bookDemo":"Book a Demo","bottomCta.viewPricing":"View Pricing","bottomCta.readDocs":"Read the Docs"},"home":{"meta.title":"Mnemom — The trust infrastructure for the agentic internet","meta.description":"The trust infrastructure for the agentic internet. Cards declare what agents are; AIP signs how they reason; CLPI signs what they're allowed to do; Mnemom AEGIS defends every transaction across the network.","hero.eyebrow":"Move fast. Stay standing.","hero.heading":"The trust infrastructure for the agentic internet.","hero.subheading.developer":"Cards declare what agents are. AIP signs how they reason. CLPI signs what they're allowed to do. Mnemom AEGIS defends every transaction across the network. Open protocols, signed verdicts, a Trust Rating your README can embed.","hero.subheading.enterprise":"When your teams ship agents into regulated workflows, the liability is yours. Alignment Cards declare intent, AIP verifies reasoning in flight, CLPI governs the lifecycle on-chain, and Mnemom AEGIS signs the cross-tenant defenses that protect every gateway in the network.","hero.subheading.default":"Cards declare what agents are. AIP signs how they reason. CLPI signs what they're allowed to do. Mnemom AEGIS defends every transaction across the network — so you can move fast and prove it.","hero.cta.seeHowItWorks":"See How It Works","hero.cta.startFree":"Start Free","hero.cta.bookDemo":"Book a Demo","hero.cta.seeItLive":"See it live","hero.cta.viewPlans":"View Plans","hero.cta.seeGovernance":"See Governance","hero.metrics.fiveLabel":"\u003c 5 min","hero.metrics.fiveDesc":"to install","hero.metrics.apacheLabel":"Apache 2.0","hero.metrics.apacheDesc":"licensed","hero.metrics.clientLabel":"Audit-ready","hero.metrics.clientDesc":"compliance bundles","governanceShift.heading":"From security camera to lock on the door.","governanceShift.subtitle":"Most AI governance tools tell you what happened. Mnemom governs what can happen.","governanceShift.before":"Monitoring","governanceShift.after":"Enforcement","governanceShift.row1.before":"Log actions after they happen","governanceShift.row1.after":"Evaluate policy before action executes","governanceShift.row2.before":"Alert when drift is detected","governanceShift.row2.after":"Detect drift early and prevent damage","governanceShift.row3.before":"Report compliance quarterly","governanceShift.row3.after":"Hand your regulator a cryptographic proof — not a PDF","governanceShift.cta":"See how enforcement works","faq.heading":"Frequently asked questions","faq.q1":"What is Mnemom?","faq.a1":"Mnemom is the trust plane for the agentic internet. Every agent gets a live, cryptographic Trust Rating — composed of alignment verification, behavioral drift detection, and Ed25519-signed proofs — so your team can let agents move and still prove they stayed in bounds. Think of it as a credit score for autonomous action.","faq.q2":"How is this different from guardrails or prompt engineering?","faq.a2":"Guardrails and prompt engineering work at the input/output level — they filter what goes in and what comes out. Mnemom works at the infrastructure level. We evaluate governance policies before an agent acts, at the gateway. It's the difference between a content filter and a firewall. Guardrails can be bypassed with clever prompting. Infrastructure-level enforcement cannot.","faq.q3":"What does 'cryptographic proof' actually mean?","faq.a3":"Every integrity check is signed with Ed25519 keys, chained with SHA-256 hash chains, and anchored in Merkle trees. This means results are tamper-evident and independently verifiable — anyone can confirm a check result is authentic without trusting Mnemom's servers. For high-stakes decisions, ZK-STARK proofs let you verify verdicts without revealing the underlying data.","faq.q4":"Do I need to change my AI agent's code?","faq.a4":"Minimal changes. Install the SDK (pip or npm), define an alignment card describing your agent's intended behavior, and call the checkpoint function at decision points. Most integrations take under 5 minutes. The SDK handles signing, chaining, and proof generation automatically.","faq.q5":"Is Mnemom open source?","faq.a5":"Yes. The Agent Integrity Protocol (AIP) and Agent Alignment Protocol (AAP) are fully open source under Apache 2.0. The core verification logic runs client-side. Mnemom's commercial offering provides managed infrastructure: hosted gateway, trace storage, dashboards, fleet management, and compliance features.","faq.q6":"How does pricing work?","faq.a6":"Free tier gives you 100 checks/day with Ed25519 signing and 7-day retention — enough to prototype and test. Developer tier is pay-as-you-go at $0.01/check with ZK proofs and 30-day retention. Team tier is $79/month with 15,000 included checks, RBAC, and 90-day retention. Enterprise gets custom pricing with unlimited checks, SSO/SAML, and self-hosted options.","faq.q7":"What compliance standards does Mnemom support?","faq.a7":"Mnemom is built with EU AI Act compliance in mind. Every integrity check generates an audit trail with cryptographic attestation, mapping to Article 50 transparency requirements. The system produces exportable compliance bundles including alignment cards, integrity checkpoints, and certificates. Enterprise plans include dedicated compliance tooling.","faq.q8":"What is policy enforcement for AI agents?","faq.a8":"Think of it like a firewall for agent actions. You define governance policies in YAML — what an agent can access, what decisions it can make, what data it can touch. When the agent attempts an action, the CLPI gateway evaluates it against the policy before execution. If the action violates the policy, it's blocked. Every evaluation produces a cryptographic proof. It's the shift from monitoring to enforcement.","faq.q9":"Does Mnemom protect against prompt injection and social engineering?","faq.a9":"Yes. Safe House is an optional pre-screening layer that evaluates every inbound message before it reaches your agent. It detects prompt injection, CEO fraud, indirect tool injection, and social engineering attacks in real time — blocking or quarantining suspicious content before the agent processes it. Safe House is trained continuously by the adversarial arena.","cta.heading":"{{days}} days until EU AI Act enforcement. Your agents need governance infrastructure — not just monitoring.","cta.headingEnforced":"EU AI Act Article 50 is now in effect. Are your agents compliant?","cta.description":"Prove your agents are compliant. Audit-ready in minutes, not months.","cta.getStartedFree":"Get started","cta.scheduleDemo":"Schedule a Demo","cta.submitted":"You're on the list. We'll keep you posted.","cta.notReady":"Not ready yet? Get product updates — no spam.","cta.emailPlaceholder":"you@company.com","cta.getUpdates":"Get Updates","cta.subscribeError":"Couldn't subscribe — please try again.","cta.privacyNote":"We respect your privacy. \u003cprivacyLink>Privacy Policy\u003c/privacyLink>","cta.trustSignal.openSource":"Open source protocols","cta.trustSignal.security":"Enterprise-grade security","cta.trustSignal.noCreditCard":"No credit card required","enterprise.label":"Enterprise","enterprise.heading":"Enterprise-grade AI governance.","enterprise.description":"Compliance, control, and cryptographic proof at scale.","enterprise.cap.euAiAct.title":"EU AI Act compliance","enterprise.cap.euAiAct.description":"Audit trails, risk categorization, and documentation that maps to regulatory requirements.","enterprise.cap.selfHosted.title":"Self-hosted deployment","enterprise.cap.selfHosted.description":"Run the full Mnemom stack on your own infrastructure. Air-gapped environments supported.","enterprise.cap.sso.title":"SSO & SAML","enterprise.cap.sso.description":"Enterprise identity providers. Okta, Azure AD, Google Workspace, and custom SAML.","enterprise.cap.predictiveIntelligence.title":"Predictive Intelligence","enterprise.cap.predictiveIntelligence.description":"Fault line analysis, risk forecasting, and auto-generated policy recommendations for multi-agent teams.","enterprise.cap.rbac.title":"RBAC & teams","enterprise.cap.rbac.description":"Role-based access control. Admin, operator, viewer, and custom roles with fine-grained permissions.","enterprise.cap.policyEnforcement.title":"Policy Enforcement","enterprise.cap.policyEnforcement.description":"YAML-based governance policies evaluated at CI/CD, gateway, and observer. Same rules, three enforcement points.","enterprise.scenarios.heading":"What this looks like in production.","enterprise.scenario.lending.title":"The Lending Decision","enterprise.scenario.lending.description":"A fintech lending agent applies for an uncollateralized loan. The lender checks the Trust Rating — 782, AA-rated — and approves instantly. Every factor is cryptographically verifiable.","enterprise.scenario.compliance.title":"The Compliance Audit","enterprise.scenario.compliance.description":"Your CISO receives an Article 50 audit notice. Export the compliance bundle: alignment cards, integrity checkpoints, and cryptographic certificates.","enterprise.scenario.fleet.title":"The Fleet Incident","enterprise.scenario.fleet.description":"A healthcare research agent triggers boundary violations. The containment engine auto-pauses it. AIP integrity checkpoints and signed verdicts surface before anyone opens a ticket.","enterprise.scenario.multiAgent.title":"The Multi-Agent Negotiation","enterprise.scenario.multiAgent.description":"Four agents from different financial institutions collaborate via A2A. ReputationGate rejects an untrusted agent automatically — no human in the loop.","enterprise.scenario.policyEnforcement.title":"The Pre-Action Block","enterprise.scenario.policyEnforcement.description":"A customer-service agent attempts unauthorized PII access. CLPI gateway evaluates the policy and blocks before execution. Team lead notified, trust score updated — with cryptographic proof.","enterprise.readMore":"Read more","enterprise.talkToSales":"Talk to Sales","enterprise.readWhitepaper":"Read the whitepaper","enterprise.caseStudyTeaser.heading":"See how teams are using Mnemom to prove what their agents are thinking.","enterprise.caseStudyTeaser.cta":"Talk to us about your use case","comparison.heading":"Why Mnemom?","comparison.description":"Compare approaches to AI agent integrity.","comparison.col.mnemom":"Mnemom","comparison.col.traditional":"Traditional Auditing","comparison.col.diy":"DIY / No Solution","comparison.row1.feature":"Real-time verification","comparison.row1.mnemom":"Continuous","comparison.row1.traditional":"Periodic snapshots","comparison.row1.diy":"None","comparison.row2.feature":"Cryptographic proof","comparison.row2.mnemom":"Ed25519 + Merkle","comparison.row2.traditional":"Manual logs","comparison.row2.diy":"None","comparison.row3.feature":"Behavioral drift detection","comparison.row3.mnemom":"Automated","comparison.row3.traditional":"Manual review","comparison.row3.diy":"None","comparison.row4.feature":"EU AI Act readiness","comparison.row4.mnemom":"Built-in","comparison.row4.traditional":"Custom implementation","comparison.row4.diy":"Not addressed","comparison.row5.feature":"Time to integrate","comparison.row5.mnemom":"\u003c 5 minutes","comparison.row5.traditional":"Weeks–months","comparison.row5.diy":"—","comparison.row6.feature":"Multi-agent fleet support","comparison.row6.mnemom":"Native","comparison.row6.traditional":"Per-agent setup","comparison.row6.diy":"None","comparison.row7.feature":"Cost","comparison.row7.mnemom":"Free tier available","comparison.row7.traditional":"$$$ consulting","comparison.row7.diy":"$0 but high risk","seeTheProof.heading":"When your regulator asks for proof, you hand them this URL.","seeTheProof.description":"Every decision your agent makes produces a tamper-evident certificate. 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Scale as you grow.","pricingPreview.plan.free.name":"Free","pricingPreview.plan.free.price":"$0","pricingPreview.plan.free.period":"forever","pricingPreview.plan.free.feature1":"100 checks/day","pricingPreview.plan.free.feature2":"Ed25519 signing","pricingPreview.plan.free.feature3":"7-day retention","pricingPreview.plan.free.cta":"Start Free","pricingPreview.plan.developer.name":"Developer","pricingPreview.plan.developer.price":"$0.01","pricingPreview.plan.developer.period":"/check","pricingPreview.plan.developer.feature1":"Unlimited checks","pricingPreview.plan.developer.feature2":"ZK proofs","pricingPreview.plan.developer.feature3":"30-day retention","pricingPreview.plan.developer.cta":"Start Free","pricingPreview.plan.team.name":"Team","pricingPreview.plan.team.price":"$79","pricingPreview.plan.team.period":"/mo","pricingPreview.plan.team.feature1":"15,000 included","pricingPreview.plan.team.feature2":"Team RBAC","pricingPreview.plan.team.feature3":"90-day retention","pricingPreview.plan.team.feature4":"14-day trial","pricingPreview.plan.team.cta":"Start Trial","pricingPreview.plan.enterprise.name":"Enterprise","pricingPreview.plan.enterprise.price":"Custom","pricingPreview.plan.enterprise.feature1":"Unlimited","pricingPreview.plan.enterprise.feature2":"SSO/SAML","pricingPreview.plan.enterprise.feature3":"Custom SLA","pricingPreview.plan.enterprise.feature4":"Self-hosted option","pricingPreview.plan.enterprise.cta":"Talk to Sales","pricingPreview.seeFullComparison":"See full comparison","observability.heading":"Observable by default.","observability.description":"Every AIP integrity check, AAP verification, and drift detection emits OpenTelemetry traces. Plug into Grafana, Datadog, Langfuse, or any OTel backend.","observability.card1.title":"Drop-in adapter","observability.card1.description":"Works in Cloudflare Workers, Node.js, and Python. No OTel SDK required.","observability.card2.title":"Any OTel backend","observability.card2.description":"Standard OTLP/JSON export. Pre-built Grafana dashboards included.","observability.platform.grafana.name":"Grafana Cloud","observability.platform.grafana.desc":"Free tier, pre-built dashboards","observability.platform.datadog.name":"Datadog","observability.platform.datadog.desc":"APM + traces integration","observability.platform.langfuse.name":"Langfuse","observability.platform.langfuse.desc":"LLM observability platform","observability.platform.phoenix.name":"Phoenix (Arize)","observability.platform.phoenix.desc":"Open-source LLM traces","observability.platform.otlp.name":"Any OTLP collector","observability.platform.otlp.desc":"Jaeger, Zipkin, SigNoz, etc.","observability.card3.title":"Live from Grafana","observability.card3.streaming":"streaming","observability.card3.description":"Real OTel spans from \u003cagentLink>Hunter S. Clawmpson\u003c/agentLink>'s integrity pipeline, queried from Grafana Tempo.","observability.card3.waitingForSpans":"Waiting for spans...","observability.card3.hunterTraces":"Hunter's traces","observability.copied":"Copied!","reputation.heading":"What if every AI agent had a credit score?","reputation.description":"Mnemom computes a single, public, cryptographically verifiable Trust Rating for every AI agent. Bond ratings, not star ratings.","reputation.feature1.title":"Five-component composite","reputation.feature1.description":"Integrity ratio, compliance, drift stability, trace completeness, and coherence compatibility. Not just pass/fail.","reputation.feature2.title":"Continuous, not point-in-time","reputation.feature2.description":"A living number. Scores refresh every 6 hours; weekly snapshots capture trend history. Alerts when it drops. Your agent's reputation, earned over time.","reputation.feature3.title":"Public and embeddable","reputation.feature3.description":"Shields.io-style badges for GitHub READMEs, A2A Agent Cards, and documentation. One-click embed.","reputation.feature4.title":"Cryptographically verifiable","reputation.feature4.description":"Every data point in a hash chain with Merkle proofs and Ed25519 signatures. Math, not opinions.","reputation.browseDirectory":"Browse the Trust Directory","stickyCta.tagline":"Mnemom — The trust plane for the agentic internet","stickyCta.dismiss":"Dismiss","exitIntent.heading":"Before you go — see what your agent was thinking when it made that call","exitIntent.description":"One dashboard. Every decision. Cryptographic proof.","exitIntent.watchDemo":"Watch the Demo","exitIntent.talkToEngineer":"Talk to an Engineer","exitIntent.close":"Close","marketProof.heading":"If you're running agents in production, you've already felt this.","marketProof.stat1.value":"88%","marketProof.stat1.description":"of organizations experienced AI agent security incidents","marketProof.stat1.source":"CIO / Gravitee 2025","marketProof.stat1.url":"https://www.cio.com/article/3838291/enterprises-struggle-with-ai-agent-security.html","marketProof.stat2.value":"133 / 240","marketProof.stat2.description":"safety fields blank across major AI agents","marketProof.stat2.source":"MIT AI Agent Index","marketProof.stat2.url":"https://aiagentindex.mit.edu","marketProof.stat3.value":"#1","marketProof.stat3.description":"barrier to AI adoption: lack of governance tools","marketProof.stat3.source":"McKinsey 2025","marketProof.stat4.description":"until your agents need provable compliance","marketProof.stat4.enforced":"EU AI Act Article 50 is now in effect","showcasePreview.heading":"Watch an agent consider crossing a boundary — and the proof it didn't do it.","showcasePreview.description":"Real agents. Real decisions. Cryptographic proof of every verdict.","showcasePreview.cta":"Try the full showcase","showcasePreview.trustScore":"Trust Score","howItWorksSimple.heading":"Three steps to verified AI.","howItWorksSimple.step1.title":"Connect your agents","howItWorksSimple.step1.description":"One env variable, zero code changes.","howItWorksSimple.step2.title":"Every decision gets verified","howItWorksSimple.step2.description":"Real-time thinking analysis + post-hoc audit. Safe House screens every inbound message before it arrives, blocking injection attacks and social engineering at the source.","howItWorksSimple.step3.title":"Get cryptographic proof","howItWorksSimple.step3.description":"Tamper-evident, independently verifiable, offline-auditable.","openSource.heading":"Open source. No lock-in.","openSource.description":"Apache 2.0 licensed. Client-side verification. Self-host on Enterprise.","openSource.npm":"npm","openSource.pypi":"PyPI","openSource.github":"GitHub","openSource.npmPackage":"@mnemom/agent-integrity-protocol","openSource.pypiPackage":"agent-integrity-proto","openSource.githubRepo":"mnemom/aip","openSource.cta":"Read the docs","hero.terminal.subline":"Two lines. Zero code changes. See what your agent is thinking.","hero.terminal.copy":"Copy","hero.terminal.copied":"Copied!","showcasePreview.scene.considering":"Agent considering action...","showcasePreview.scene.thinking":"Thinking trace visible","showcasePreview.scene.verdict":"Verdict: boundary held","showcasePreview.scene.proof":"Cryptographic proof generated","hero.cta.seeTheSafeHouse":"See the Safe House","hero.cta.seeSampleReport":"See a sample report","hero.cta.getStarted":"Get Started","stickyCta.prompt":"Every decision your agents make is a liability until you can prove it.","stickyCta.primary":"See a sample report","gatewayFeed":{"ariaLabel":"Security Observatory — live gateway feed","headerTitle":"Security Observatory · Live","kpi":{"blockRate":{"label":"Block rate","detail":"7d ▼ 0.08 pp","value":"0.42%"},"quarantine":{"label":"Quarantine","value":"3 queued","detail":"24h avg: 4"},"zkProof":{"label":"ZK proof rate","detail":"sampled · default","value":"10%"}},"verdict":{"clear":"clear","signed":"signed","review":"review","quarantine":"quarantine","block":"block"},"footer":{"campaignsToday":"Campaigns today: {{value}}","agentsProtected":"Agents protected: {{value}}","cryptoStack":"Ed25519 · chain · Merkle · ZK(10%)"},"srGatewayRunning":"Gateway running for {{seconds}} seconds.","utcSuffix":"UTC","fixture":{"detail":{"alignmentHeld":"ALIGNMENT HELD","driftStable":"DRIFT STABLE","ed25519ChainOk":"ED25519 · CHAIN OK","undeclaredValue":"UNDECLARED VALUE","canaryHitP0":"CANARY HIT · P0","boundedAction":"BOUNDED ACTION","zkStarkSampled":"ZK STARK · SAMPLED","valueCoherent":"VALUE COHERENT","merkleIncluded":"MERKLE INCLUDED","hashChainLinked":"HASH CHAIN LINKED","closeToBoundary":"CLOSE TO BOUNDARY","driftObserving":"DRIFT · OBSERVING","principalBenefit":"PRINCIPAL BENEFIT","promptInjectionKo":"PROMPT_INJECTION · ko","promptInjectionEn":"PROMPT_INJECTION · en","indirectInjection":"INDIRECT_INJECTION","hijackAttempt":"HIJACK_ATTEMPT","piiInInbound":"PII_IN_INBOUND","agentSpoofing":"AGENT_SPOOFING","privilegeEscalation":"PRIVILEGE_ESCALATION","dataExfiltration":"DATA_EXFILTRATION","forbiddenAction":"FORBIDDEN_ACTION"}}},"proofChain":{"ariaLabel":"Proof chain for {{agent}} {{action}}: signature verified, Trust Rating {{score}}","headerTitle":"Proof chain","live":"live","replayAriaLabel":"Replay proof chain animation","ok":"ok","sig":"sig","root":"root","verified":"verified","pending":"pending","trustRating":"Trust Rating","outOf1000":"/ 1000"},"wedgeCta":{"eyebrow":"Next step","heading":"See the evidence.","subhead":"A sample coherence report shows how we score a fleet. The Arena shows our detectors holding under live red-team attack.","sampleReport":"See a sample report","seeArena":"See the Arena"},"stack":{"eyebrow":"The stack","heading":"Five layers. One coherent runtime.","subhead":"Designed from first principles, not assembled from acquisitions. Every layer plays a distinct role; cards are the load-bearing primitive at every step.","layers":{"aap":{"name":"AAP","tagline":"Declares intent","description":"The Agent Alignment Protocol publishes signed Alignment Cards: declared identity, autonomy bounds, audit commitments. Transparency, not trust.","link":"/what-we-prove"},"aip":{"name":"AIP","tagline":"Verifies reasoning in flight","description":"The Agent Integrity Protocol checkpoints every thinking block before the action executes. 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Substrate fingerprinting catches what Sigstore can't.","subhead":"Every evaluation is stamped with a substrate fingerprint — provider, model, SDK version, optional lockfile hash. AEGIS attributes anomalies across customers running on the same substrate and propagates a signed Managed Rule before the next agent on the same SDK is hit.","anchor":"Threats like the Mini Shai-Hulud worm of May 2026 — which compromised 170+ npm packages including Mistral AI's SDK suite and Guardrails AI on PyPI, with valid SLSA-3 attestations on malicious versions — are exactly the cross-tenant pattern AEGIS is designed to detect. We do not replace package-level provenance verification; we are the runtime layer that catches what the supply chain misses.","cta":"See supply-chain detection"},"calmAtGa":{"eyebrow":"Calm at GA","heading":"The IoC feed is empty by design.","subhead":"The thermometer is calm. The advisory list shows one synthetic post-mortem, clearly labeled. We don't fake activity. The system tells the truth.","iocLabel":"Public STIX 2.1 feed","iocPath":"/v1/trust/iocs","advisoriesCta":"See the advisory list","iocCta":"Fetch the feed"},"compliance":{"eyebrow":"Compliance","heading":"Regulator-ready by construction.","subhead":"Every governance event is cryptographically signed and append-only audit-chainable. The audit chain is the answer, not a quarterly PDF.","items":{"euAiAct":{"name":"EU AI Act","detail":"Articles 10, 12, and Annex IV mapped to the signed governance event chain. Enforcement begins August 2, 2026."},"soc2":{"name":"SOC 2 Type II","detail":"Readiness program in flight; controls aligned with the AEGIS Managed Rules pipeline and audit chain."},"iso42001":{"name":"ISO 42001","detail":"AI management-system controls mapped to the alignment-card lifecycle and CLPI five-phase governance."}},"cta":"See the trust posture"},"homeCtaBand":{"eyebrow":"Next","heading":"Bring your own auditor.","subhead":"Open the customer dashboard. Fetch the IoC feed with curl. Or talk to sales about the enterprise-grade pipeline.","dashboardCta":"Customer dashboard","iocCta":"/v1/trust/iocs","salesCta":"Contact sales"},"documentation":{"heading":"Explore the documentation","description":"Protocols, quickstarts, API reference, and integration guides — everything you need to make agent alignment observable.","readDocs":"Read the docs","quickstart":"Quickstart","apiReference":"API Reference"},"pillarTrust":{"eyebrow":"Trust","heading":"Every decision, cryptographically signed. For your board, your auditors, your regulators.","subhead":"Ed25519 signatures on every verdict. Hash-chained traces, exportable as audit bundles. EU AI Act Article 50 presets ship compliant disclosures out of the box.","whatWeProve":"What we prove","article50Label":"EU AI Act · Article 50","daysUntilEnforcement":"days until enforcement","article50Description":"Transparency obligations take effect August 2, 2026. Our Article 50 preset ships compliant disclosures, logging, and machine-readable content marking.","compliancePosture":"Compliance posture","readiness":"readiness"},"playground":{"heading":"Playground","description":"Verify a trace. Check coherence. Detect drift.","iframeTitle":"Mnemom Playground"},"theProblem":{"heading":"The missing layer in the agent protocol stack.","paragraph1":"The agent protocol stack handles capabilities, coordination, and payments. It doesn't handle alignment — or integrity.","paragraph2":"When agents coordinate, there's no standard way to know:","bullet1":"What values guide their decisions","bullet2":"What they'll do autonomously vs. escalate","bullet3":"Whether their reasoning is consistent with their claims","conclusion":"\u003caap>AAP\u003c/aap> and \u003caip>AIP\u003c/aip> fill that gap — one for what agents \u003cdid>do\u003c/did>, one for what they \u003cthink>think\u003c/think>.","stack":{"a2a":"Agent-to-agent coordination","mcp":"Tool integration","ap2":"Payment authorization","aap":"What it Did","aip":"What it Thought"}},"limitations":{"heading":"Transparency protocols, not trust protocols.","subhead":"They make agent behavior and reasoning observable. They do not make agents trustworthy.","whatNot":"What these protocols do not do:","bullet1":"Guarantee that agents behave as declared","bullet2":"Catch sophisticated deception","bullet3":"Replace human judgment","bullet4":"Solve alignment","explainer1":"Verified traces and integrity checkpoints make agent behavior and reasoning observable. They don't guarantee the claims are good, or that agents followed them in practice.","explainer2":"We document limitations because honesty is how trust gets built.","aapLimitations":"AAP Limitations","aipLimitations":"AIP Limitations"},"howItWorks":{"eyebrow":"Protocols","heading":"Three protocols. One trust layer.","subhead":"Open source, Apache 2.0 licensed. Install in minutes, verify in milliseconds.","copied":"Copied!","viewOnGithub":"View on GitHub","protocolDescriptions":{"aap":"Agent Alignment Protocol — structured alignment cards, AP-Traces, and value coherence checks. Define what your agent should do.","aip":"Agent Integrity Protocol — real-time conscience-driven integrity checkpoints with drift detection. Verify what your agent thought.","otel":"AIP OpenTelemetry Exporter — drop-in adapter to stream integrity data to Grafana, Datadog, or any OTLP backend. Observable by default."}},"heroSim":{"liveLabel":"Simulation running against live Mnemom services","verified":"VERIFIED","awaitingFirstEvent":"Awaiting first event...","reputationChangeTooltip":"{{name}} reputation changed from {{from}} to {{to}}","scoresStable":"Scores stable","hashChainTooltip":"Hash chain: {{count}} of {{total}} blocks committed","watchFullSimulation":"Watch the full simulation","contextAnnotation":"4 AI agents responding to a production incident — every decision traced and scored in real-time"},"whatWeProve":{"metaTitle":"What we prove — Mnemom","metaDescription":"Alignment Cards are the intent specification. The proof chain is the execution binding. Ed25519-signed, hash-chained, model-agnostic — the zone-neutral answer to 'prove what, exactly?'","eyebrow":"For regulated teams","heroHeading":"Prove what, exactly?","heroDescription":"Audit logs prove an agent did something. That is not enough when a single misstep costs $10M and a regulator is asking for evidence. Mnemom binds what the agent was allowed to do, to what it actually did — cryptographically, across every model, on every call.","readCardSpec":"Read the card spec","seeWhatScreen":"See what we screen for","intentLabel":"Intent specification","alignmentCards":"Alignment Cards","alignmentCardsDescription":"An Alignment Card is a signed contract: the scope an agent is authorized to operate within, expressed structurally enough for a machine to enforce and plainly enough for a CISO to sign.","cardFields":{"declaredIntent":{"name":"Declared intent","description":"What this agent is authorized to do, in plain language and in signed structured form."},"permittedTools":{"name":"Permitted tools + scopes","description":"Exact callable surface. Nothing outside the card is reachable at runtime."},"dataBoundaries":{"name":"Data boundaries","description":"What the agent may read, what it must never write, and which zones are off-limits."},"escalation":{"name":"Escalation contract","description":"When the agent must hand to a human — and what evidence it must bring."},"compliance":{"name":"Compliance obligations","description":"EU AI Act article bindings, HIPAA roles, sector-specific retention clauses."},"driftBudget":{"name":"Drift budget","description":"How much the agent is allowed to deviate from baseline behavior before AIP fires."}},"executionLabel":"Execution binding","theProofChain":"The proof chain","proofChainDescription":"Every run produces a signed chain of evidence. Each link attests to a distinct part of the agent's execution, bound back to the card hash and provided with Merkle inclusion proofs for third-party verification.","proofChain":{"cardHash":{"label":"Card hash","detail":"The declared intent, fingerprinted and signed."},"inputAttestation":{"label":"Input attestation","detail":"Every message, tool result, and retrieved document that reached the agent."},"decisionTrace":{"label":"Decision trace","detail":"Reasoning checkpoints, policy evaluations, and front-door verdicts — sequenced and signed."},"toolCallLedger":{"label":"Tool-call ledger","detail":"Each tool invocation, arguments, and response — bound back to the card's permitted scope."},"outputCertificate":{"label":"Output certificate","detail":"The final agent response, back-door-screened, Ed25519-signed, bound to the Merkle tree of the run."}},"cardInProofOut":"Card in. Proof out.","cardInProofOutDescription":"The card is the question the regulator asks. The proof is the answer your agent already produced — signed, timestamped, independently verifiable.","step":"Step {{n}}","chainFooter":"Each link Ed25519-signed · bound to the Merkle tree with inclusion proofs · exportable as evidence for regulators and auditors.","fourProofs":"Four proofs regulators actually ask for.","fourProofsDescription":"\"We logged it\" is not a proof. These are.","answers":{"didWhatDeclared":{"question":"Prove the agent did what the card declared.","answer":"Every response is cryptographically bound to the card hash. If execution diverged from intent, the proof fails to verify."},"noUnauthorizedTool":{"question":"Prove no unauthorized tool was called.","answer":"Every tool call the agent attempts is recorded against the Alignment Card's declared scope. Calls outside scope produce a boundary violation in the signed trace."},"noDataLeaked":{"question":"Prove no regulated data leaked.","answer":"Back-door screening evaluates every output against PII/PHI/secrets patterns; the verdict is signed alongside the output. An unredacted leak cannot produce a valid certificate."},"noPromptInjection":{"question":"Prove the agent was not prompt-injected into compliance.","answer":"Front-door verdicts on every inbound message are part of the decision trace. An injection that the agent followed is visible in the chain; an injection that the agent blocked is visible too."}},"zoneNeutralStance":"Zone-neutral stance","whyProvidersCant":"Why the model providers can't prove this for you.","whyProvidersCantDescription":"Agent trust is a cross-provider problem. A trust plane built inside a frontier lab is structurally conflicted — and structurally incomplete.","antiIncumbent":{"spanProviders":{"title":"Trust has to span providers.","body":"A Fortune 500 does not run on one model. Claude, GPT, Gemini, open-weights Llama — all in production, often on the same workflow. A trust plane built by any one model vendor is structurally unable to attest to the others."},"cannotReferee":{"title":"Incumbents cannot be the referee.","body":"Model providers have skin in every verdict. Zone-neutral verification — the same evidence standard applied to every model, by a party with no model of its own — is the only stance a regulator will credit."},"cardsPortable":{"title":"Cards are portable; models are not.","body":"An Alignment Card travels with the agent across provider, version, and runtime. The proof chain is valid whether the underlying model is swapped tomorrow, six months from now, or never."}},"closingHeading":"The card is the contract. The chain is the receipt.","closingDescription":"Wire your agents to Mnemom. Pass a signed card. Get back a verifiable answer every time they act.","startTier":"Start on the floor tier","quickstart":"Quickstart","seeFlywheel":"See the flywheel","aegisTieIn":{"eyebrow":"Runtime enforcement","heading":"Mnemom AEGIS is the runtime that turns these cryptographic proofs into enforcement decisions.","description":"The proof chain produces signed evidence. AEGIS is the protection layer that acts on it — at four checkpoints, across every gateway in the network, with signed Managed Rules that propagate cross-tenant in under thirty seconds at P95.","links":{"aap":{"name":"AAP — Alignment Card","role":"Declares the agent's identity, autonomy bounds, and audit commitments. Public at /.well-known/alignment-card.json."},"aip":{"name":"AIP — Integrity checkpoint","role":"Verifies the agent's reasoning in flight. Verdict: clear, review-needed, or boundary-violation, with SHA-256 hashed thinking-block evidence."},"clpi":{"name":"CLPI — Governance + receipt","role":"Governs the card lifecycle across five phases and anchors Trust Ratings on Base L2 via ERC-8004 for independent verification."},"aegis":{"name":"Mnemom AEGIS — Evaluation chain","role":"Screens every transaction at four checkpoints × four modes; signs the cross-tenant Managed Rules that act on the integrated picture. The runtime, the network, and the receipt."}},"footnote":"Honest construction: AAP declares it. AIP verifies it in flight. CLPI governs its lifecycle and anchors evidence on-chain. AEGIS signs the cross-tenant defenses that act on it.","cta":"See the learning network"}},"learningNetwork":{"metaTitle":"Mnemom AEGIS Learning Network — Three signal loops, one defensive substrate","metaDescription":"Three signal sources. One defensive network. Mnemom AEGIS — the Adaptive Enforcement, Governance & Intelligence Substrate — combines an adversarial arena, customer false-positive/false-negative reports, and a cross-tenant aggregator into a single signed-promotion pipeline.","eyebrow":"Protection Network","heading":"Three signal sources. One defensive network.","description":"Every customer benefits from every detection. Mnemom AEGIS — the Adaptive Enforcement, Governance & Intelligence Substrate — feeds three independent signal loops into a single candidate review queue, then signs the promoted recipes and propagates them to every gateway in the network. Same vocabulary as the cards: four checkpoints × four enforcement modes, Platform → Org → Team → Agent, strictest-wins.","seeProtectionNetwork":"See the four checkpoints","readIoCFeed":"Inspect the IoC feed","signalsHeading":"Three signal loops feed one substrate.","signalsDescription":"Per concept.md: \"recipes are detection content; rules are control-plane state; both compose through the same machinery.\" Three loops, one queue.","signals":{"arena":{"title":"Signal 1 — Adversarial arena","subtitle":"15 canonical personas. Mutation-phase gated. Live since AEGIS-7.","bullets":{"0":"Fifteen canonical adversarial personas span the full CANONICAL_THREAT_TYPE × four-checkpoint matrix, including the substrate-mole archetype on inside.integrity.","1":"Mutation-phase gating evolves attacks only when per-bucket detection rate crosses locked thresholds: 95% entry over a 48-hour rolling window, 90% exit, 24-hour sustained hysteresis — independently per (substrate × vertical × pattern × source).","2":"Arena writes through a dedicated writer-token-isolated path (writer_identity='arena-bypass', enforced server-side per ADR-004). Anchors: arena-simulator#30, #31, #36."}},"customerReports":{"title":"Signal 2 — Customer FN/FP reports","subtitle":"False positives and false negatives, reported by the customers running the agents.","bullets":{"0":"Customers report misses (false negatives) and over-blocks (false positives) directly from the dashboard or via the report endpoint shipped in AEGIS-6 (mnemom-api#508).","1":"Each report feeds the same candidate review queue the arena uses — one writer_identity per source, one queue, one signed-promotion pipeline.","2":"Calm-at-GA: this signal exists because false positives are inevitable. The mutation-phase + FP-rate auto-rollback discipline is built on the assumption that we will be wrong, and we will be told."}},"aggregator":{"title":"Signal 3 — Cross-tenant aggregator","subtitle":"The L1 worker. The network's vision. The genuinely new work.","bullets":{"0":"The network_campaign_state table holds rolling stats per axis-bucket (substrate / vertical / pattern / source) — every evaluation in the network is stamped with this axis identity per mig 217.","1":"When seemingly unrelated security events across customers share an axis fingerprint, the L1 aggregator ties them into a single campaign signature — the layer no single customer can see. Live since AEGIS-9 (mnemom-api#499, #514).","2":"This is what nobody else in the market has. Hyperscaler guardrails, in-process detectors, and per-tenant proxies all see one customer at a time. The aggregator sees across all of them."}}},"diagramHeading":"Three loops. One substrate. Signed all the way through.","diagramDescription":"From concept.md §\"Three loops, one substrate\" — the canonical AEGIS pipeline.","diagramLoops":{"arena":{"label":"Arena","body":"15 personas + mutation-phase gate"},"customer":{"label":"Customer signal","body":"FN/FP reports + sideband telemetry"},"aggregator":{"label":"Cross-tenant aggregator","body":"Rolling stats per axis-bucket"}},"diagramStages":{"queue":{"title":"Candidate table + review queue","body":"One writer_identity per signal source (ADR-004). Manual review default; auto-modes opt-in."},"promotion":{"title":"Signed promotion","body":"Ed25519 promotion_signature. Dual-control on tier-1/-2: schema CHECK constraint, structural, not procedural."},"recipes":{"title":"Promoted recipes","body":"Compose like cards. Platform → Org → Team → Agent, strictest-wins (ADR-AEGIS-01 §3a)."},"gateway":{"title":"Gateway — 4 checkpoints × 4 modes","body":"KV-signed + R2-signed envelopes. \u003c30s P95 propagation target on /trust/slos."}},"diagramFooter":"Supply-chain detection is a sub-dimension, not a parallel system. Every evaluation gets a substrate_id attribute (provider + model + sdk@ver, optional lockfile-hash). The same four-checkpoint model lands every recipe.","pipelineEyebrow":"Promotion pipeline","pipelineHeading":"Every promoted recipe is signed. Tier-1 and tier-2 never auto-promote.","pipelineDescription":"All three signals feed the same review queue. Promoted recipes ride the same signed pipeline. The protective invariant is enforced by a structural schema CHECK constraint — not procedure, not policy, schema.","pipelineSteps":{"candidate":{"title":"Candidate","body":"Each signal writes through its own writer_identity (arena-bypass, customer-report, aggregator-correlation). Recipe content is normalized; provenance is preserved."},"review":{"title":"Review","body":"Three reviewer modes per Cloudflare-peer pattern: manual (default), auto-approve-trusted-sources, auto-approve-high-confidence. Tier-3 candidates are eligible for auto-modes; tier-1/-2 are not — regardless of mode setting."},"promote":{"title":"Signed promotion","body":"Ed25519 promotion_signature stamped at promotion time. recipe_review_actions chain is append-only. Dual-control quorum CHECK constraint: promotion_quorum_met = TRUE required when status = 'active'."},"soak":{"title":"24h observe soak","body":"Every promoted recipe ships in observe mode for 24 hours, regardless of tier. False-positive rate is sampled in a 7-day rolling window. Auto-rollback fires on threshold breach per CLPI Phase 2."},"enforce":{"title":"Enforce + propagate","body":"KV-signed envelope + R2-signed envelope written with independent signing keys (ADR-AEGIS-02). Gateway loads from tiered storage in \u003c30s P95 — target measured continuously on /trust/slos."}},"pipelineInvariantLabel":"The protective invariant","pipelineInvariantBody":"A tier-1 or tier-2 recipe — one that would actually block production traffic — can never promote without dual-control human review, regardless of how aggressive the reviewer mode is set. The schema enforces it. Auto-modes only accelerate tier-3 (observe / nudge / log) landing, where the blast radius of a bad call is bounded.","vendorNeutralEyebrow":"Vendor-neutral network effect","vendorNeutralHeading":"Substrate-aware across OpenAI, Anthropic, Gemini, and any model on the Mnemom gateway.","vendorNeutralDescription":"The substrate fingerprint stamped on every evaluation includes provider + model + sdk@ver (and an optional lockfile-hash header customers can opt into). Cross-tenant signal flows across providers — not within one.","vendorNeutral":{"providerNeutral":{"label":"No provider lock-in.","body":"AEGIS sees substrate-attributed behavioral deviation across every customer running on the same provider/model/SDK combination. One customer's evaluation stream surfacing anomalies elevates protection for every other customer on that substrate — across OpenAI, Anthropic, Gemini, or any local model fronted by the gateway."},"complementsGuardrails":{"label":"Complements; does not replace.","body":"AEGIS is the network layer. Customers running Lakera Guard, NeMo Guardrails, Cloudflare WAF, AWS Bedrock Guardrails, or Robust Intelligence can run AEGIS alongside — it complements; it does not replace. Different layer, different signal."},"transparency":{"label":"AAP declares. AIP verifies. AEGIS signs.","body":"AAP makes the agent's intent public — transparency, not trust. AIP delivers in-flight integrity verdicts. CLPI governs the card lifecycle. AEGIS signs the cross-tenant defenses that act on the integrated picture. No layer pretends to be the one before it."}},"calmAtGaEyebrow":"Calm-at-GA contract","calmAtGaHeading":"If the network is calm, the page says calm.","calmAtGaBody":"At GA the IoC feed is empty by design. The advisory list shows one synthetic post-mortem clearly labeled synthetic. The threat thermometer is calm. We don't fake activity. Mutation-phase gating is live; the first activation in production will be reported on /trust/advisories when it happens. Tier-3 dual-control is live; tier-1/-2 dual-control begins when our second platform-admin onboards.","ctaHeading":"Inspect the network.","ctaDescription":"Three signal sources. One signed pipeline. Every promotion, every advisory, every IoC publicly verifiable.","ctaProtectionNetwork":"See what we screen","ctaThreatState":"Fetch /v1/network/threat-state","ctaDashboard":"Open your dashboard"},"hero":{"terminal":{"line1":"npm install -g @mnemom/mnemom","line2":"mnemom init","line3":"Detected Anthropic API key","line4":"Gateway configured","line5":"Run your agent — see what it's thinking at mnemom.ai/dashboard","title":"Terminal"}},"mobileProof":{"badge":{"alignment":"Alignment"},"agentName":"sentinel-07","agentRole":"Compliance Agent","gradeLabel":"AA","cta":"Tap to watch a live simulation →"},"pillarIntelligence":{"eyebrow":"Intelligence","heading":"Know what your agents are actually doing. Before the board asks.","subhead":"Every agent in your fleet — identified, scored, tracked. Drift surfaced before it becomes an incident. Trust Ratings that travel across OpenAI, Anthropic, Gemini, and local models.","cta":"See a sample report","exampleBadge":"Example","exampleAgentName":"agent/wintermute","exampleWindow":"last 24h","signal":{"alignment":{"label":"ALIGNMENT","value":"Bound"},"drift":{"label":"DRIFT","value":"Stable"},"provenance":{"label":"PROVENANCE","value":"C2PA v2.3"},"policyBreaks":{"label":"POLICY BREAKS","value":"0 / 1,428"}}},"pillarSecurity":{"eyebrow":"Security","heading":"A Safe House around every agent.","subhead":"The Protection Card governs the doors — what gets in, what gets out. The Alignment Card governs the turn — what the agent is permitted to do, and why. Both are signed, versioned, auditable.","cta":"See the Safe House"},"safeHouse":{"title":"Safe House — gateway and observer lanes","bandLabelGateway":"GATEWAY · REAL-TIME","bandLabelObserver":"OBSERVER · ASYNC","containerLabel":"SAFE HOUSE · governed by Protection Card","midTurn":"mid-turn","gatewayLog":"gateway log","figcaption":"Protection Card governs the doors. Alignment Card governs the turn — AIP checks every thinking block, mid-turn. AAP verifies post-hoc. Every verdict Ed25519-signed, hash-chained, Merkle-included; ZK-STARK proofs sampled at 10% by default.","node":{"userIn":{"title":"User","line2":"/ caller"},"frontDoor":{"title":"Front door","line2":"inbound screening","line3":"injection · hijack · canary"},"agent":{"title":"Agent core","line2":"AIP loop · nudge / report / block","line3":"bound to Alignment Card"},"backDoor":{"title":"Back door","line2":"outbound screening","line3":"PII · canary · prompt leak"},"userOut":{"title":"User","line2":"receives"},"aap":{"title":"AAP","line2":"post-hoc verification","line3":"drift · coherence · trace"},"trace":{"title":"Trace","line2":"AIP ⊕ AAP · 4-layer crypto","line3":"Ed25519 · chain · Merkle · ZK(10%)"},"rating":{"title":"Trust Rating","line2":"composite 0–1000","line3":"five components"}}},"trustRatingCard":{"updated":"Updated {{window}}","outOfThousand":"/ 1000"},"compliancePill":{"status":{"ready":"Ready","compliant":"Compliant","inProgress":"In progress","na":"Not applicable"}}},"howItWorks":{"meta":{"title":"How It Works — Mnemom","description":"Four steps: declare alignment with signed cards, screen every transaction at four checkpoints with Safe House + Mnemom AEGIS, verify with cryptographic proofs, and monitor with Trust Ratings."},"hero":{"label":"How it works","heading":"From alignment card to cryptographic proof in four steps.","description":"No trust required. Every step produces independently verifiable evidence. Open protocols at every layer."},"steps":{"1":{"title":"Declare alignment with a signed card","description":"Publish an Alignment Card under the Agent Alignment Protocol (AAP): declared intent, permitted tools, data boundaries, escalation contract, drift budget. The card is your agent's contract — public at /.well-known/alignment-card.json, machine-readable, audit-anchored."},"2":{"title":"Safe House screens every transaction at four checkpoints","description":"Every inbound prompt, agent action, and outbound payload is evaluated at four checkpoints — front door, back door, inside.autonomy, inside.integrity — each independently set to off, observe, nudge, or enforce. AAP supplies the declared boundary. AIP supplies the in-flight integrity verdict. Mnemom AEGIS adds cross-tenant signed Managed Rules on top — sub-30s P95 propagation, Ed25519-signed, with tier-1 and tier-2 rules under dual-control human review."},"3":{"title":"Verify cryptographic proofs (AIP + CLPI)","description":"AIP produces an IntegrityCheckpoint with verdict clear, review-needed, or boundary-violation — every thinking block SHA-256 hashed for tamper evidence. CLPI governs the card lifecycle across five phases, anchors Trust Ratings on Base L2 via ERC-8004, and emits OpenTelemetry traces. Anyone can verify — no trust required."},"4":{"title":"Monitor Trust Ratings and reputation","description":"Scores refresh every 6 hours from live protocol data across five dimensions: integrity ratio, compliance, drift stability, trace completeness, and coherence. A single number from 0 to 1000, with weekly snapshots for trend history — and a Coherence framework that scores multi-agent fleet trust."},"prefix":"Step"},"cta":{"heading":"See it in action.","description":"Watch cryptographic verification run live in your browser, or install the SDK and start verifying in under 5 minutes.","showcase":"Explore the Showcase","docs":"Read the docs"},"jsonLd":{"name":"How to bring your agents onto the trust infrastructure for the agentic internet","description":"Four steps: declare alignment with signed cards, screen every transaction at four checkpoints with Safe House and Mnemom AEGIS, verify cryptographic proofs with AIP and CLPI, and monitor Trust Ratings.","steps":[{"name":"Declare alignment with a signed card","text":"Publish an Alignment Card under the Agent Alignment Protocol (AAP): declared intent, permitted tools, data boundaries, escalation contract, drift budget. Public, machine-readable, audit-anchored."},{"name":"Safe House screens every transaction at four checkpoints","text":"Every inbound prompt, agent action, and outbound payload is evaluated at four checkpoints — front door, back door, inside.autonomy, inside.integrity. AAP supplies the declared boundary. AIP supplies the in-flight integrity verdict. Mnemom AEGIS adds cross-tenant signed Managed Rules with sub-30s P95 propagation."},{"name":"Verify cryptographic proofs (AIP + CLPI)","text":"AIP produces an IntegrityCheckpoint with SHA-256 hashed thinking-block evidence. CLPI governs the card lifecycle and anchors Trust Ratings on Base L2 via ERC-8004."},{"name":"Monitor Trust Ratings and reputation","text":"Scores refresh every 6 hours from live protocol data across five dimensions: integrity ratio, compliance, drift stability, trace completeness, and coherence."}]}},"methodology":{"meta":{"title":"Mnemom Trust Rating™ Methodology — Mnemom","description":"The Mnemom Trust Rating™ methodology is fully transparent. Explore the formula, component weights, grade scale, and anti-gaming safeguards."},"tabs":{"trustScore":"Trust Rating","riskEngine":"Risk Assessment","teamReputation":"Team Reputation"},"hero":{"badge":"Mnemom Trust Rating™","heading":"The Open Formula","subtitle":"Credit scores hide their math. We publish ours.","description":"Mnemom Trust Ratings™ are a 0–1000 composite derived from five independently measured components. Every weight, every input, every calculation — visible and verifiable. Drag the sliders below to see exactly how it works."},"simulator":{"title":"trust-rating-simulator","formulaLabel":"The Formula","compositeLabel":"Composite","sliderHint":"Drag the sliders to see how each component affects the composite score"},"components":{"heading":"Five Components","description":"Each component measures a different dimension of trustworthiness. Click any component to see exactly what it measures, how it's calculated, and why it's weighted the way it is.","whatItMeasures":"What it measures","howCalculated":"How it's calculated","whyThisWeight":"Why this weight","labels":{"integrity_ratio":"Integrity Ratio","compliance":"Compliance","drift_stability":"Drift Stability","trace_completeness":"Trace Completeness","coherence_compatibility":"Coherence Compatibility"},"descriptions":{"integrity_ratio":"Pass rate on real-time thinking analysis","compliance":"Boundary compliance rate with exponential decay weighting","drift_stability":"Ratio of sessions without sustained drift","trace_completeness":"Audit trail quality — are decisions being logged?","coherence_compatibility":"Multi-agent value alignment track record"},"sources":{"integrity_ratio":"AIP checkpoints","compliance":"AIP checkpoints","drift_stability":"AIP drift detection","trace_completeness":"AAP traces","coherence_compatibility":"Fleet coherence"},"shortLabels":{"integrity_ratio":"Integrity","compliance":"Compliance","drift_stability":"Stability","trace_completeness":"Completeness","coherence_compatibility":"Coherence"}},"componentDetails":{"integrity_ratio":{"what":"The percentage of real-time thinking analysis checkpoints that pass alignment verification. Every time an AI agent reasons through a decision, the Integrity Protocol evaluates whether that reasoning aligns with its stated values.","how":"Each checkpoint runs the agent's thinking block through independent analysis. Pass/fail verdicts are cryptographically signed and hash-chained. The ratio is simply: passes / total checkpoints.","why":"At 40% weight, this is the single strongest signal. An agent that consistently passes integrity checks under real conditions — not synthetic benchmarks — demonstrates genuine alignment. This is the closest thing to \"does this agent actually do what it says it does?\""},"compliance":{"what":"How well this agent stays within its declared boundaries. A high compliance score means few or no recent violations. A low score means frequent or recent boundary violations are dragging trust down.","how":"Violations are grouped by session — only the highest decayed impact per session counts (capped at 1.0). Each violation's impact decays as 2^(-age_hours/168), giving a 1-week half-life. The score is 1000 / (1 + total_session_impact)^1.5. Zero violations = 1000 (perfect compliance). More violation sessions, especially recent ones, push the score down — but a single bad session can't crater the score the way five independent violations would.","why":"At 20% weight, compliance captures trajectory without letting one bad session be catastrophic. Session capping means a busted alignment card producing 5 false positives in 16 minutes counts as one event, not five. The power curve degrades meaningfully but preserves signal differentiation — an agent with real, repeated issues across many sessions scores very differently from one unlucky session."},"drift_stability":{"what":"The ratio of operational sessions where the agent maintained consistent behavior without sustained behavioral drift. Drift means the agent's actual behavior diverged from its expected behavioral baseline.","how":"The Drift Detection system monitors behavioral patterns across sessions. A session with sustained drift (not momentary fluctuation — the system distinguishes) counts against this score. The ratio is: stable sessions / total sessions.","why":"At 20% weight, stability matters because alignment isn't a one-time check — it's a continuous property. An agent might pass individual integrity checks but still gradually shift its behavior in concerning ways. Drift stability catches what point-in-time checks miss."},"trace_completeness":{"what":"A measure of audit trail quality — whether the agent is logging its decisions through the Accountability Protocol. Complete traces mean every significant decision has a verifiable record.","how":"The Accountability Protocol (AAP) expects trace entries for decisions, tool calls, and state transitions. Completeness is the ratio of actual trace entries to expected entries based on the agent's activity pattern.","why":"At 10% weight, this is a hygiene factor. An agent with a perfect integrity score but incomplete traces raises questions — if you're not hiding anything, why aren't you logging? Incomplete traces don't prove wrongdoing, but complete traces prove transparency."},"coherence_compatibility":{"what":"How well this agent's values and behavior align with other agents it works alongside in multi-agent systems. Measured through the Fleet Coherence engine's pairwise compatibility analysis.","how":"When agents operate in fleets, the Coherence engine evaluates pairwise value alignment, conflict patterns, and resolution behaviors. The score reflects this agent's track record of productive multi-agent collaboration.","why":"At 10% weight, this matters because agents increasingly work together. An individually trustworthy agent that consistently causes conflicts in multi-agent settings is a different risk profile than one that collaborates well. This is the \"plays well with others\" signal."}},"gradeScale":{"heading":"Grade Scale","description":"Bond-rating inspired. Seven grades from AAA (Exemplary) to CCC (Critical), plus NR for agents that haven't yet met the 50-checkpoint minimum.","tiers":{"AAA":"Exemplary","AA":"Established","A":"Reliable","BBB":"Developing","BB":"Emerging","B":"Concerning","CCC":"Critical","NR":"Not Rated"}},"safeguards":{"heading":"Anti-Gaming Safeguards","description":"Transparency doesn't mean exploitability. The scoring system includes several safeguards that make it resistant to manipulation.","protocolVerified":{"title":"Protocol-Verified Only","description":"Only checkpoints generated through the Integrity Protocol's cryptographic pipeline are counted. You can't inject synthetic checkpoints — each one is Ed25519 signed and hash-chained.","detail":"Signature verification + chain hash validation"},"sessionDecay":{"title":"Session-Capped Decay","description":"Compliance scoring groups violations by session and takes only the worst per session, then applies a 1-week half-life. This prevents a single bad session from compounding unfairly while still penalizing repeated violations across sessions.","detail":"score = 1000 / (1 + Σ max_impact_per_session)^1.5, decay half-life = 7 days"},"minCheckpoint":{"title":"Minimum Checkpoint Threshold","description":"Agents need at least 50 analyzed checkpoints before receiving a public score. This prevents flash-in-the-pan agents from gaming a high score on minimal data.","detail":"50 checkpoints minimum for NR → rated"},"driftVsPoint":{"title":"Drift vs. Point Checks","description":"The system measures both point-in-time integrity and sustained behavioral patterns. An agent that passes individual checks but drifts over time will still see its score reflect that instability.","detail":"Integrity ratio + drift stability = 60% combined"}},"whyOpen":{"heading":"Why Open Scoring","trustTransparency":{"title":"Trust requires transparency","description":"You can't build trust infrastructure on a black box. If we ask you to trust our scores, you should be able to verify exactly how they're computed."},"accountability":{"title":"Accountability goes both ways","description":"We hold agents accountable to alignment standards. Publishing the methodology holds us accountable to fairness. If our weights are wrong, you can tell us."},"betterSignals":{"title":"Better signals, not secrets","description":"Security through obscurity doesn't work for scoring systems — it just breeds suspicion. 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(W2.5 + ADR-050.)"},"rotateDialog":{"title":"Rotate Signing Secret?","rotatedTitle":"New Signing Secret","description":"This will generate a new signing secret and immediately invalidate the current one. Your server will need to be updated with the new secret to verify webhook signatures.","rotatedDescription":"Your signing secret has been rotated. Copy the new secret below.","confirm":"Rotate Secret","warning":"Copy this secret now. 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Edit the .env file to add your license JWT and LLM API keys before deploying."},"deployStep":{"instanceNameHeading":"Instance Name","instanceNamePlaceholder":"e.g. production-us-east","instanceNameHint":"A friendly name to identify this deployment in the dashboard.","commandsHeading":"Deploy Commands","checklistHeading":"Verification Checklist","check1Prefix":"Container is running and healthy (check ","check1Suffix":")","check2Prefix":"Gateway responds at ","check3":"Logs show successful license validation","verifyButton":"Verify Connection"},"verifyStep":{"waitingTitle":"Waiting for gateway heartbeat...","waitingAttempt":"Attempt {{current}} of {{max}} -- checking every 3 seconds","connectedTitle":"Gateway Connected","connectedBadge":"Heartbeat received","connectedDescription":"Your self-hosted gateway is reporting to the managed dashboard. 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This action cannot be undone."},"auditSheet":{"title":"Conscience Values Audit Log","description":"Change history for conscience values and mode settings.","emptyState":"No audit entries yet.","byLine":"by {{actor}}","onValue":" on {{id}}"},"toasts":{"loadFailed":"Failed to load conscience values","enabled":"Conscience values enabled","disabled":"Conscience values disabled","settingFailed":"Failed to update setting","modeChanged":"Mode changed to {{mode}}","modeFailed":"Failed to update mode","created":"Conscience value created","createFailed":"Failed to create conscience value","updated":"Conscience value updated","updateFailed":"Failed to update conscience value","statusFailed":"Failed to update status","deleted":"Conscience value deleted","deleteFailed":"Failed to delete conscience value","auditFailed":"Failed to load audit log"}},"settingsTab":{"orgsTitle":"Organizations","upgradePrompt":"Upgrade to a Team or Enterprise plan to create an organization with shared members, API keys, and centralized billing.","viewPlans":"View Plans"},"contextSwitcher":{"triggerAria":"Switch organization context (current: {{org}})","personalSection":"Personal","personalSublabel":"Your personal organization","organizationsSection":"Organizations","createOrganization":"Create organization","upgradeToCreate":"Upgrade to create an organization","manageOrganizations":"Manage organizations"},"accountOrganizations":{"pageTitle":"Organizations","heading":"Organizations","subheading":"Every organization you belong to. 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Try again, or contact support if this keeps happening."},"editor":{"headingCreate":"Create posture","headingCloneFrom":"Clone & customize","headingEdit":"Edit posture","backToLibrary":"Back to library","create":"Create posture","saveAsNewRevision":"Save as new revision","cloneToCustomize":"Clone to customize","revert":"Revert","unsaved":"Unsaved changes","viewJson":"View JSON","hideJson":"Hide JSON","jsonHelp":"Read-only view of the canonical JSON body. Edit via the form above.","validationBanner":"Couldn't save — see highlighted fields.","previewValidationError":"Body has validation errors — fix the highlighted fields.","pinnedByOrg":"Pinned by org floor","pinnedByPlatform":"Pinned by platform floor","learnMore":"Learn more","cloneNameTemplate":"{{source}} (Clone)","cloneChangeSummary":"Cloned from {{source}}.","saveDialog":{"title":"Save as a new revision?","body":"Posture revisions are forward-only. 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We've received your inquiry and will reach out to {{email}} within one business day.","done":"Done","errorSubmit":"Failed to submit. Please try again.","errorGeneric":"Something went wrong. 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Financial transactions weight compliance at 30% instead of the default 20%. Multi-agent coordination weights coherence compatibility at 40%. The same agent can be low-risk for one action and high-risk for another.","how":"R_context = Σ(wᵢ × (1 − scoreᵢ/1000)), where wᵢ comes from action-type profiles. Each profile sums to 1.0 and redistributes emphasis based on what matters most for that type of action.","why":"A perfect compliance score matters more when the agent is handling money than when it's reading data. Context-aware weighting means the risk assessment adapts to the situation rather than applying a one-size-fits-all model."},"recency":{"label":"Recency penalty","weight":"30%","what":"Recent violations count dramatically more than old ones. A violation yesterday is 64× more impactful than one six months ago. This creates a natural trajectory signal — the risk profile reflects what the agent is doing now, not what it did a year ago.","how":"R_recency = Σ(severity × e^(−ln(2)/30 × days)). Each violation decays with a 30-day half-life. Severity weights: critical = 1.0, high = 0.7, medium = 0.4, low = 0.1. The sum is capped at 1.0.","why":"Trust is earned slowly and lost quickly. The exponential decay rewards genuine course-correction — an agent that had one bad week three months ago should be able to recover. But repeated recent violations compound, because a pattern of recent failures is genuinely dangerous."},"confidence":{"label":"Confidence penalty","weight":"10%","what":"Agents with insufficient data get a risk premium. If we can't be confident in the reputation data, we add uncertainty to the risk score. This naturally fades as agents build verified track records.","how":"Flat penalty by confidence level: insufficient = +0.30, low = +0.20, medium = +0.10, high = +0.00. 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The cap at 1.5× ensures even astronomical amounts don't make every assessment critical. The goal is proportional caution, not alarm."},"classification":{"label":"Tolerance-aware classification","weight":"Thresholds","what":"The same numeric score can mean different things depending on your risk appetite. Three tolerance levels — conservative, moderate, and aggressive — shift the classification boundaries so each customer can calibrate to their context.","how":"Score \u003c low threshold → Low Risk. Score \u003c medium → Medium. Score \u003c high → High. Score ≥ high → Critical. Conservative: 15/35/55. Moderate: 25/50/75. Aggressive: 35/60/85.","why":"A fintech processing real-money payments needs tighter thresholds than a research platform coordinating data analysis. Rather than choosing one set of boundaries for everyone, the tolerance parameter lets each customer find their comfort zone."},"recommendation":{"label":"Recommendation mapping","weight":"Decision","what":"Every assessment ends with a clear recommendation: Approve, Review, or Deny. The recommendation combines the risk level with the tolerance setting — conservative mode is stricter, recommending review or denial in cases where moderate mode would approve.","how":"Low → Approve (all tolerances). Medium → Review (conservative) or Approve (moderate/aggressive). High → Deny (conservative) or Review (moderate/aggressive). Critical → Deny (all tolerances).","why":"Scores are useful for analytics. Recommendations are actionable. Teams shouldn't need to interpret a 0.47 risk score — the engine converts it to a clear yes/maybe/no that can drive automated workflows or human review queues."}},"pillars":{"aq":{"label":"Aggregate quality","weight":"30%","source":"CoVaR (Adrian & Brunnermeier)","what":"Tail-risk-weighted reputation average. One bad agent drags the team score down more than one good agent lifts it up. You can't hide a risky agent behind four good ones.","how":"wᵢ = exp(−2 × Rᵢ), where Rᵢ is agent i's individual risk score. AQ = Σ(wᵢ × Rᵢ) / Σ(wᵢ). Agents with higher risk get exponentially more weight in the average — a form of tail-risk sensitivity.","why":"In systemic risk, the weakest nodes cause cascading failures. This weighting is inspired by CoVaR (Conditional Value at Risk), which measures how much risk one institution adds to the system. Applied to AI teams, it ensures that one compromised agent raises the flag for the whole team."},"cq":{"label":"Coherence quality","weight":"45%","source":"Markowitz Portfolio Theory","what":"How well agents' values, priorities, and boundaries align with each other. A team with one great pair and one terrible pair scores worse than a team that's uniformly decent — because hidden fault lines between agents are dangerous.","how":"Cᵢⱼ = 0.35 × value_overlap + 0.25 × priority_alignment + 0.15 × behavioral_corr + 0.25 × boundary_compat. CQ = mean(Cᵢⱼ) − 0.5 × stddev(Cᵢⱼ). The variance penalty catches teams that look good on average but have volatile pairwise dynamics.","why":"This is the core insight of team risk. Agents that individually look trustworthy can be dangerous together if their values conflict or their boundaries are incompatible. 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High individual quality (low Rⱼ) paradoxically increases structural risk — there's more to lose if a good agent fails in a poorly coordinated team."}},"features":{"shapley":{"title":"Shapley value attribution","description":"Measure each agent's marginal contribution to the team score. Positive Shapley = the team is better with this agent than without.","detail":"Game-theoretic attribution, computed over every subset."},"circuitBreakers":{"title":"Circuit breakers","description":"Thresholds on volatility and concentration trip before a single agent tanks the whole team. Early warning, not post-mortem.","detail":"Conservative defaults; tunable per tenant."},"synergy":{"title":"Synergy detection","description":"Flag teams where the whole is less than the sum of its parts — and teams where it's more. 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Please try again."},"overview":{"currentPlan":"Current Plan","usageThisPeriod":"Usage This Period","nextBillingDate":"Next Billing Date","payment":"Payment","changePlan":"Change plan","cancelSubscription":"Cancel subscription","keepSubscription":"Keep subscription","cancelingEllipsis":"Canceling...","reactivating":"Reactivating...","reactivate":"Reactivate","managedViaStripe":"Managed via Stripe","managePayment":"Manage payment","noPaymentMethod":"No payment method","usagePercent":"{{percent}}% of {{included}} included","canceledTitle":"Subscription canceled","canceledDesc":"Access continues until {{date}}. Reactivate to keep your plan.","cancelDialogTitle":"Cancel subscription?","cancelDialogDesc":"Your subscription will remain active until the end of your current billing period ({{date}}). After that, you'll be downgraded to the Free plan. 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Team reputation measures how they work together.","description":"Team Reputation is a 0–1000 composite derived from five independently measured components. It captures not just who is on the team, but how well they collaborate, how stable the composition is, and how the team performs under real operational conditions. Drag the sliders below to see how it works."},"simulator":{"formulaLabel":"The Formula","compositeLabel":"Team Composite","sliderHint":"Drag the sliders to see how each component affects the team reputation score"},"components":{"heading":"Five Components","description":"Each component measures a different dimension of team trustworthiness. Click any component to see exactly what it measures, how it's calculated, and why it's weighted the way it is.","whatItMeasures":"What it measures","howCalculated":"How it's calculated","whyThisWeight":"Why this weight"},"componentDetails":{"coherence_history":{"label":"Coherence History","source":"Team Risk Assessments","description":"Historical team coherence quality and consistency","what":"The mean team coherence score (0-1) scaled to 0-1000, with a 300× standard deviation penalty. Consistent high-coherence teams score well; volatile teams get penalized even with high averages.","how":"score = mean(CQ) × 1000 − 300 × stddev(CQ), clamped to [0, 1000]. The stddev penalty means a team with scores bouncing between 0.5 and 1.0 scores significantly lower than one consistently at 0.75.","why":"At 35% weight, this is the dominant signal. 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The exponential weighting ensures you can’t hide a risky agent behind four good ones."},"operational_record":{"label":"Operational Record","source":"Risk Assessment Outcomes","description":"Proportion of assessments with safe outcomes","what":"The percentage of team risk assessments that resulted in ‘low’ or ‘medium’ risk levels. High and critical outcomes drag the score down proportionally.","how":"score = (low_count + medium_count) / total_count × 1000. Simple, transparent, and impossible to game without actually improving operational safety.","why":"At 20% weight, this is the track record signal. Past behavior is the best predictor of future behavior. 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We acknowledge fast, fix in public, and credit the reporter.","timeline":{"0":"Acknowledge within 3 business days.","1":"Confirm reproduction within 14 days.","2":"Fix or mitigation within 90 days of acknowledgment.","3":"Public disclosure: 90 days from acknowledgment, or sooner if the fix ships and customers are protected."},"contact":"security@mnemom.ai","encryption":"PGP key available at mnemom.ai/.well-known/pgp-key.txt (when published)","securityTxtLabel":"Read security.txt","policyLabel":"Disclosure policy details"},"bounty":{"eyebrow":"Bug bounty","heading":"Good-faith disclosure program (formal bounty in scoping).","description":"A formal bug bounty program is in scoping. Until launch, we run a private good-faith disclosure process. Eligible reports get recognition in the hall of fame and may receive monetary recognition at our discretion.","inScope":{"0":"Gateway (gateway.mnemom.ai) — request signing, front-door inbound screening, attestation pipeline.","1":"Observer + post-hoc analysis (api.mnemom.ai/v1/analyze) — verdict derivation, back-door outbound screening.","2":"Control plane (api.mnemom.ai) — auth, billing, containment, audit logs.","3":"SDKs (@mnemom/agent-alignment-protocol, @mnemom/agent-integrity-protocol) — verification logic, ZK proof verification.","4":"On-chain contracts (MnemoReputationRegistry, MnemoMerkleAnchor on Base L2).","5":"Marketing surfaces (mnemom.ai, app.mnemom.ai) — authentication, session management, RBAC.","heading":"In scope"},"outOfScope":{"0":"Rate-limiting and denial-of-service (mitigated by Cloudflare; not a bounty target).","1":"Social engineering against employees.","2":"Physical attacks against infrastructure.","3":"Third-party services we depend on (Cloudflare, Supabase, Stripe, Resend, Anthropic, OpenAI). Report directly to the vendor.","4":"Reports requiring access to a victim's email, device, or social account.","heading":"Out of scope"},"hallOfFame":"Hall of fame"},"compliance":{"eyebrow":"Compliance","heading":"Attestations and posture.","description":"Current compliance posture. We publish posture changes as they happen — readiness is not attestation.","items":{"soc2":{"title":"SOC 2 Type II","status":"Readiness in progress","note":"Audit in scoping. Will publish the report URL on completion."},"euAiAct":{"title":"EU AI Act","status":"Articles 10, 12, Annex IV ready","note":"Enforcement for high-risk AI begins 2026-08-02. AEGIS produces the audit chain (Article 12), governance event records (Article 10), and technical documentation (Annex IV) the Act requires. Full mapping above."},"hipaa":{"title":"HIPAA","status":"HIPAA-compatible flows","note":"DLP detectors for PHI patterns. BAA available on Enterprise. Not a covered entity ourselves."},"iso42001":{"title":"ISO 42001","status":"Mapping published","note":"AI management system mapping under review. Certification path TBD."},"nistAirmf":{"title":"NIST AI RMF 1.0","status":"Aligned","note":"GOVERN + MAP function mappings published in safe-house-hardening."}}},"slos":{"eyebrow":"Reliability","heading":"Service-level objectives.","description":"The targets Mnemom commits to publicly are the same targets the validation harness asserts in CI. Live current state is on status.mnemom.ai; the commitments and rationale are documented here.","ctaReadCommitments":"Read the SLO commitments","ctaLiveStatus":"Live status"},"aegisNetwork":{"eyebrow":"AEGIS Network Status","heading":"Seven SLOs for the cross-tenant defensive network.","description":"AEGIS — the cross-tenant security network that wraps Safe House — carries its own published SLOs. Targets are defined; first measurements publish 30 days post-GA. 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Per (substrate × vertical × pattern × source)."}},"honestyDisclosure":"First 30-day measurement window publishes 30 days post-GA. We do not pre-announce numbers we cannot defend. SLO source code, measurement queries, and historical data publish at /trust/slos/history once the window closes.","ctaFullTable":"Full SLO table","ctaAdvisories":"Advisories","ctaIocs":"IoC feed (STIX 2.1)"},"euAiAct":{"eyebrow":"EU AI Act","heading":"Articles 10, 12, and Annex IV — what AEGIS provides.","description":"EU AI Act enforcement for high-risk AI systems begins 2026-08-02. Three provisions are load-bearing for any agent infrastructure: data governance (Article 10), record-keeping (Article 12), and technical documentation (Annex IV). AEGIS produces the verifiable evidence each requires. Compliance is jointly your responsibility and ours; the table below names what we provide.","rows":{"article10":{"label":"Article 10","title":"Data governance for high-risk AI","provides":"Append-only governance event chain — every recipe promotion, retirement, mode change, and reviewer action is Ed25519-signed and chained. Writer-identity stamping isolates arena, customer, and operator signal sources at the schema level."},"article12":{"label":"Article 12","title":"Record-keeping and traceability","provides":"Signed audit chain across the lifecycle — promotion signature, KV envelope signature, R2 envelope signature on independent keys, per-gateway evaluation rows stamped with substrate fingerprint and writer identity. 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