> **Agent?** Fastest path: MCP at `https://api.mnemom.ai/mcp` — call `get_started` first (zero-auth, no args). Full agent guide: <https://www.mnemom.ai/agents.txt>

# Enterprise

Enterprise

# Regulatory-ready governance for the agentic internet.

Mnemom AEGIS Managed Rules, signed promotion under dual-control, an append-only audit chain, EU AI Act Article 10/12/Annex IV mapping, and self-hosted deployment for high-compliance verticals — built on a coherent stack designed from first principles, not assembled from acquisitions.

[See a sample report](/report/sample)[Talk to Sales](/contact?reason=enterprise)[Read the whitepaper](https://docs.mnemom.ai/concepts/whitepaper)

Capabilities

## Everything you need for production AI governance.

### EU AI Act mapping

Article 10 (data governance), Article 12 (record-keeping), and Annex IV (technical documentation) mapped to the signed governance event chain. Enforcement begins August 2, 2026; the audit chain is the answer, not a quarterly PDF.

### Self-hosted deployment

Run the full Mnemom stack on your own infrastructure for high-compliance verticals. Docker, Kubernetes, or bare metal. The Protection Network operating mode is configurable on self-hosted gateways for tenants that require a fully internal AEGIS pipeline.

### SSO & SAML

Enterprise identity providers including Okta, Azure AD, Google Workspace, and custom SAML 2.0 integrations.

### Immutable audit logs

Every integrity check, score change, and configuration update in a cryptographically verifiable, exportable audit trail.

### RBAC & teams

Role-based access control with admin, operator, viewer, and custom roles. Fine-grained permissions at the agent and organization level.

### Custom SLA & support

Dedicated support, custom SLA targets, custom onboarding, and priority issue resolution for production deployments.

### Mnemom AEGIS Managed Rules

Ed25519-signed Managed Rules with a sub-30s P95 propagation target across every gateway in the network. Tier-1 and tier-2 rules — the ones that can block production traffic — require two-person review under an append-only audit trail, enforced by the platform, not by process. The enterprise-grade enforcement layer Cloudflare Managed Rules and AWS Shield Advanced are to web security.

Scenarios

## What this looks like in production.

Real scenarios, powered by real infrastructure.

[

### The Lending Decision

An AI agent applies for an uncollateralized loan. Instead of guessing, the lender checks the Trust Rating — 782, AA-rated — and approves instantly. Every factor is cryptographically verifiable.

Read more](/case-studies/lending-decision)

[

### The Compliance Audit

EU AI Act Article 50 audit notice arrives. Export the compliance bundle: alignment cards, integrity checkpoints, and cryptographic certificates. The auditor verifies independently.

Read more](/case-studies/compliance-audit)

[

### The Fleet Incident

A research agent triggers boundary violations. The containment engine auto-pauses it. The dashboard surfaces the AIP integrity checkpoints and signed verdicts before anyone opens a ticket.

Read more](/case-studies/fleet-incident)

[

### The Multi-Agent Negotiation

Four agents from different organizations collaborate via A2A. The orchestrator runs coherence analysis. ReputationGate rejects an untrusted agent automatically — no human in the loop.

Read more](/case-studies/multi-agent-negotiation)

EU AI Act mapping

## Articles 10, 12, and Annex IV — answered by the audit chain.

Enforcement begins August 2, 2026. Every governance event is signed and append-only; the same evidence the regulator asks for is the evidence we already produce.

Article

Requirement

How Mnemom answers

Article 10

Data governance

Data boundaries are org-defined on the Protection Card's protected surface (assets, forbidden ops, escalation-required); Alignment Cards declare the agent's intent and autonomy bounds; AIP back-door screening verifies every output against PII/PHI patterns; CLPI Phase 2 governs the card lifecycle and amendments.

Article 12

Record-keeping

Every integrity checkpoint, every Managed Rule promotion, every advisory publication is Ed25519-signed and chained. CLPI anchors Trust Ratings on Base L2 for independent verification.

Annex IV

Technical documentation

Exportable compliance bundles — Alignment Cards, IntegrityCheckpoints, signed promotion envelopes, advisory chains — assembled from primitives, not from a separate compliance product.

Enforcement date: 2026-08-02. Compliance posture is a joint responsibility; see the live compliance matrix on /trust.

Framework coverage

## Mapped to the frameworks your security team already uses.

Beyond the EU AI Act, our controls are mapped to NIST's AI Risk Management Framework and the OWASP Agentic Security Initiative Top 10. Each mapping names a shipped control — it's a technical mapping, not a certification.

Framework

Status

How Mnemom maps

NIST AI RMF 1.0

Mapped (not certified)

All four functions — GOVERN, MAP, MEASURE, MANAGE — mapped to shipped controls (Alignment Cards, AIP integrity checkpoints, Trust Ratings, the containment engine). NIST AI 100-1 is a voluntary framework with no certification body; this is a technical mapping.

OWASP Agentic Top 10

Mapped (ASI01–10)

All ten ASI categories — from Agent Goal Hijack (ASI01) to Rogue Agents (ASI10) — mapped to Safe House and AEGIS controls, with current gaps stated honestly rather than papered over.

ISO 42001 / 27001

Scoping (not certified)

Scoping in progress — not certified and not in active audit. A roadmap line, not a coverage claim; the path will be published as it firms up.

Full mappings: NIST AI RMF in /guides/eu-compliance, OWASP Agentic Top 10 in /guides/owasp-agentic-top-10, and the live compliance matrix on /trust.

What you get

## What's included.

Cryptographic proof of every AI decision

Trust Ratings for your entire agent fleet

OpenTelemetry observability integration

Risk assessment API access

Containment & remediation tools

Multi-agent coherence monitoring

Next step

## Ready to deploy verifiable AI?

Our team will help you evaluate Mnemom for your use case, compliance requirements, and deployment environment.

[See a sample report](/report/sample)[Schedule a conversation](/contact?reason=enterprise)

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