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.

    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    Card gap: missing or outdated alignment card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 via ERC-8004 for independent verification.

    SP1 zkVM STARK proofs (sampled · default 10%)
    On-chain Trust Rating registry (ERC-8004)
    Independent verification

    How Mnemom compares.

    The only platform with pre-action enforcement, policy DSL, and cryptographic proof.

    FeatureMnemomArizeLangfuseLangSmithPatronusGalileo
    Pre-action enforcement
    Policy DSL
    Predictive intelligence
    Cryptographic proof
    On-chain Trust Rating (ERC-8004)
    Trust recovery

    EU AI Act Article 50 — mapped.

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

    RequirementCLPI Feature
    Transparency documentationAlignment cards + integrity certificates
    Audit trailsImmutable hash chains with Merkle proofs
    Risk categorizationFive-component Trust Rating with drift detection
    Compliance reportingExportable compliance bundles with cryptographic attestation
    Real-time monitoringContinuous integrity checks, not quarterly audits

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

    Ready for governance that's more than a dashboard?

    Featured on There's An AI For That