# AI Governance Engine

AI Agent Governance

# Policy enforcement. Not just policy documentation.

Define governance rules in YAML. Enforce them at the gateway — before your agents act. Prove every decision with cryptography.

[Book a Demo](/contact?reason=enterprise)[Read the Docs](https://docs.mnemom.ai)

## The shift from monitoring to enforcement.

Traditional Monitoring

1Agent acts

2Action is logged

3Alert fires (maybe)

4Human investigates

CLPI Enforcement

1Agent requests action

2Policy evaluated at gateway

3Allowed or blocked instantly

4Proof generated automatically

## Five pillars of AI agent governance.

Card Lifecycle & Policy Intelligence — from policy definition to cryptographic proof.

### Policy Language

Define governance rules in YAML. Human-readable. Machine-enforceable. Version-controlled alongside your code.

\# mnemom-policy.yaml
version: 1
rules:
  - action: access\_pii
    effect: deny
    unless:
      - role: data\_processor
      - consent: explicit
  - action: external\_api\_call
    effect: allow
    require:
      - trust\_rating: ">= 600"

### Shared Evaluation Engine

Same policies, three enforcement points. Shift-left at CI/CD. Pre-action at the gateway. Post-hoc at the observer.

CI/CD — shift-left validation

Gateway — pre-action enforcement

Observer — post-hoc audit

### Trust Recovery

When trust breaks, we diagnose why. Card gaps mean missing documentation — fix the card. Behavior gaps mean actual violations — fix the agent.

●Card gap: missing or outdated alignment card

●Behavior gap: agent violated declared policy

### Predictive Intelligence

Fault line analysis identifies where your agent fleet is likely to fail next. Risk forecasting and auto-generated policy recommendations — before incidents happen.

Fault line analysis

Risk forecasting

Auto-generated recommendations

### Cryptographic Proofs

Every verdict is Ed25519-signed, hash-chained, and Merkle-tree included. SP1 zkVM STARK proofs are available for every verdict and sampled by default at 10% — selective to keep cost aligned with risk. Trust Ratings publish on Base L2 for independent verification.

SP1 zkVM STARK proofs (sampled · default 10%)

On-chain Trust Rating registry (Base L2)

Independent verification

## How Mnemom compares.

The only platform combining pre-action enforcement, policy DSL, cryptographic proof, and a cross-tenant Mnemom AEGIS Managed Rules pipeline.

Feature

Mnemom

Arize

Langfuse

LangSmith

Patronus

Galileo

Pre-action enforcement

Policy DSL

Predictive intelligence

Cryptographic proof

On-chain Trust Rating (Base L2)

Trust recovery

Cross-tenant AEGIS Managed Rules

Mutation-phase adversarial arena

Public STIX 2.1 IoC feed

Append-only signed audit chain

## EU AI Act Article 50 — mapped.

Every transparency obligation, covered. Compliance presets ship in the SDKs.

Requirement

CLPI Feature

Transparency documentation

Alignment cards + integrity certificates

Audit trails

Immutable hash chains with Merkle proofs

Risk categorization

Five-component Trust Rating with drift detection

Compliance reporting

Exportable compliance bundles with cryptographic attestation

Real-time monitoring

Continuous integrity checks, not quarterly audits

Deadline: August 2, 2026. Compliance presets ship in the SDKs today.

## EU AI Act — Articles 10, 12, and Annex IV mapped.

The full enforcement provisions, not just Article 50 transparency. Every governance event is signed and audit-chainable — the regulator's question and Mnemom's answer share a primitive.

Article

Requirement

How Mnemom answers

Article 10

Data governance

Alignment Cards declare data boundaries; 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, Managed Rule promotion, and advisory publication is Ed25519-signed and append-only chained. CLPI Phase 4 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 the same primitives the runtime uses.

## Ready for governance that's more than a dashboard?

[Book a Demo](/contact?reason=enterprise)[View Pricing](/pricing)[Read the Docs](https://docs.mnemom.ai)

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