> **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>

# Trust Center

```json
{"@context":"https://schema.org","@type":"WebPage","name":"Trust Center \u2014 Mnemom","description":"Mnemom's security architecture, version policy, responsible disclosure SLA, bug bounty scope, compliance attestations, and SBOM publishing. The trust surface for regulators, auditors, and security researchers.","url":"https://trust.mnemom.ai/","inLanguage":"en-US","dateModified":"2026-06-13","publisher":{"@type":"Organization","@id":"https://www.mnemom.ai#organization","name":"Mnemom","url":"https://www.mnemom.ai"}}
```

```json
{"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://www.mnemom.ai/"},{"@type":"ListItem","position":2,"name":"Trust Center","item":"https://trust.mnemom.ai/"}]}
```

Trust Center

# How Mnemom earns the trust we're asking you to give.

Every claim on the marketing site maps to a code path, a doc page, and a test. This page is the entry point for the audit-grade surface: architecture, disclosure, attestations, and SBOMs. Everything live, dated, and replaceable.

[security.txt](/.well-known/security.txt)[Report a vulnerability](#disclosure)

Architecture

## The four checkpoints, in one diagram.

Mnemom is a trust plane around your agent fleet. Every request crosses four checkpoints — front door, inside.autonomy (AIP), inside.integrity (AAP), back door — and every verdict is signed.

### Front door

Inbound message screening — every prompt and tool result reaching your agent is evaluated for prompt injection, social engineering, indirect injection, and tool-call coercion. Verdict signed Ed25519.

### Inside · autonomy · AIP

Agent Integrity Protocol evaluates the agent's thinking against its Alignment Card on every turn. Drift, value misalignment, and boundary violations surface in the signed decision trace.

### Inside · integrity · AAP

Agent Alignment Protocol records AP-Traces post-hoc and verifies behavioral consistency against the card. The audit chain links AIP checkpoints to AAP traces by \`linked\_trace\_id\`.

### Back door

Outbound response screening — every agent reply is evaluated against PII, secrets, alignment-card violations, and regulated-advice patterns before it leaves your perimeter. An unredacted leak cannot produce a valid signed certificate.

### Conscience Architecture Card (CAC)

Every Mnemom deployment binds to a signed CAC declaring which checkpoints are active in which mode (off / observe / nudge / enforce / enforce\_sync). The CAC is published per tenant and is part of the verifiable trust posture.

Version policy

## AAP + AIP version policy and protocol RFC process.

Both protocols are versioned semver. Breaking changes go through a public RFC process before landing in a release. Minor versions add fields with default values; major versions can change wire format with a deprecation runway.

-   Minor version (1.X.0): additive — new fields, new enum values, new optional concern categories. Backward-compatible.
-   Patch version (1.0.X): bug fixes, doc updates. No schema changes.
-   Major version (X.0.0): wire-format change. Goes through a public RFC at github.com/mnemom/aap/discussions or aip/discussions. Minimum 90-day comment window before a v2 RC.
-   Deprecations: minimum 180 days from announcement to removal. Verdicts emitted under a deprecated version remain verifiable indefinitely.

Currently published versions

-   npm: @mnemom/agent-alignment-protocol
-   npm: @mnemom/agent-integrity-protocol
-   npm: @mnemom/aip-verifier
-   PyPI: agent-alignment-protocol
-   PyPI: agent-integrity-proto

[Open an RFC](https://github.com/mnemom/aap/discussions)

Threat model

## What Mnemom is designed to prevent — and what it isn't.

Public threat-model summary. The full document lives in the safe-house-hardening repo and is reviewed quarterly. T8 will publish the long-form version here.

### In scope (prevented by design)

-   Boundary violations — actions outside the agent's declared Alignment Card.
-   Prompt injection + indirect injection — adversarial inbound content.
-   Outbound data leakage — PII, secrets, alignment-card violations.
-   Behavioral drift — gradual deviation from the agent's baseline.
-   Verdict fabrication — the proof layer detects tampered or fabricated verdicts.
-   Cross-tenant data leakage — strict tenant boundaries on prompts, traces, alignment cards.

### Out of scope (honest disclosure)

-   ·LLM inference correctness — we prove the auditor's judgment, not the model's output.
-   ·Sophisticated steganographic reasoning — agents that reason invisibly evade thinking-block analysis.
-   ·Compromise of the underlying LLM provider's infrastructure.
-   ·Physical / supply-chain attacks against the customer's deployment.
-   ·Denial-of-service against Mnemom infrastructure (mitigated, not eliminated).

Responsible disclosure

## Report a vulnerability — 90-day SLA.

Coordinated disclosure protects everyone. We acknowledge fast, fix in public, and credit the reporter.

1.  1
    
    Acknowledge within 3 business days.
2.  2
    
    Confirm reproduction within 14 days.
3.  3
    
    Fix or mitigation within 90 days of acknowledgment.
4.  4
    
    Public disclosure: 90 days from acknowledgment, or sooner if the fix ships and customers are protected.

[security@mnemom.ai](mailto:security@mnemom.ai)[Read security.txt](/.well-known/security.txt)

PGP key available at mnemom.ai/.well-known/pgp-key.txt (when published)

Bug bounty

## Good-faith disclosure program (formal bounty in scoping).

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.

### In scope

-   Gateway (gateway.mnemom.ai) — request signing, front-door inbound screening, attestation pipeline.
-   Observer + post-hoc analysis (api.mnemom.ai/v1/analyze) — verdict derivation, back-door outbound screening.
-   Control plane (api.mnemom.ai) — auth, billing, containment, audit logs.
-   SDKs (@mnemom/agent-alignment-protocol, @mnemom/agent-integrity-protocol) — verification logic, ZK proof verification.
-   On-chain contracts (MnemoReputationRegistry, MnemoMerkleAnchor on Base L2).
-   Marketing surfaces (mnemom.ai, app.mnemom.ai) — authentication, session management, RBAC.

### Out of scope

-   ·Rate-limiting and denial-of-service (mitigated by Cloudflare; not a bounty target).
-   ·Social engineering against employees.
-   ·Physical attacks against infrastructure.
-   ·Third-party services we depend on (Cloudflare, Supabase, Stripe, Resend, Anthropic, OpenAI). Report directly to the vendor.
-   ·Reports requiring access to a victim's email, device, or social account.

Hall of fame — empty for now; reporters will be listed here with consent.

Compliance

## Attestations and posture.

Current compliance posture. We publish posture changes as they happen — readiness is not attestation.

### SOC 2 Type II

Readiness in progress

Audit in scoping. Will publish the report URL on completion.

### EU AI Act

Articles 10, 12, Annex IV ready

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

HIPAA-compatible flows

DLP detectors for PHI patterns. BAA available on Enterprise. Not a covered entity ourselves.

### ISO 42001

Mapping published

AI management system mapping under review. Certification path TBD.

### NIST AI RMF 1.0

Aligned

GOVERN + MAP function mappings published in safe-house-hardening.

AEGIS Network Status

## Seven SLOs for the cross-tenant defensive network.

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. The full table, source code, and historical data live at /trust/slos.

### Managed Rule propagation

P95 ≤ 30s

Signed promotion to gateway-loaded, through two independent signed delivery paths.

Measurement pending

### Rule-set freshness

P99 ≤ 5 min

Under normal operation, across the gateway fleet.

Measurement pending

### Staleness alert

P0 at 24h

On-call paged when any gateway's recipe set is 24 hours stale.

Measurement pending

### Failover availability

99.99%

Gateway successfully loads a verified rule set across multiple independent read tiers.

Measurement pending

### Signature verification

≥ 99.99%

Signature failure triggers P0 and R2 fallback with an independent signing chain.

Measurement pending

### Recipe false-positive rate

Rolling 7-day FP per recipe

Auto-rollback when a recipe's FP ratio crosses the per-tier threshold (CLPI Phase 2).

Measurement pending

### Mutation-phase gate

Sustained detection threshold

Per-bucket arena detection rate entry/exit. Per (substrate × vertical × pattern × source).

Measurement pending

Measurement pending

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.

[Full SLO table](/trust/slos)[Advisories](/trust/advisories)[IoC feed (STIX 2.1)](/trust/iocs)

EU AI Act

## Articles 10, 12, and Annex IV — what AEGIS provides.

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.

Article 10

### Data governance for high-risk AI

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.

Article 12

### Record-keeping and traceability

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. Records are queryable, replayable, and tamper-evident.

Annex IV

### Technical documentation

Public advisory CMS at /trust/advisories with signed post-incident write-ups, machine-readable IoC feed at /v1/trust/iocs (STIX 2.1), and published SLOs at /trust/slos. The technical documentation auditors look for is the same documentation customers and agents read.

Not legal advice. This page names the evidence AEGIS produces; obligations under the Act remain the deployer's. EU AI Act references: Articles 10, 12, and Annex IV. Enforcement of high-risk obligations begins 2026-08-02.

Reliability

## Service-level objectives.

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.

[Read the SLO commitments](/trust/slos)[Live status](https://status.mnemom.ai)

Supply chain

## SBOM publishing per release.

Every gateway worker release and every SDK version ships with a CycloneDX SBOM. Per-release SBOMs are linked from the release page on GitHub.

-   Gateway SBOMs · github.com/mnemom/mnemom-platform/releases
-   AAP SBOMs · github.com/mnemom/aap/releases
-   AIP SBOMs · github.com/mnemom/aip/releases

SBOMs are CycloneDX 1.5 JSON. We commit to publishing per release; we do not commit to embedding the SBOM in a TUF or in-toto attestation today (under consideration).

Last updated 2026-05-23. This page evolves alongside the safe-house-hardening track.

Audited quarterly · next refresh July 2026

[Marketing claim inventory →](/research)

---
_Source: /trust/index.html · Generated by build-markdown-mirrors.mjs · For agent-readability commitment #4 see https://www.mnemom.ai/for-agents/_
