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Framework · MATF

The Metamynd AI Trust Framework

MATF is the governance framework for trustworthy AI — the principles, domains, lifecycle and deliverables required to govern AI at scale, made enforceable by the Metamynd Agentic Governance Protocol (MAGP).

Most 'AI governance' stops at documents. MATF goes further: every principle maps to a control that actually runs — an identity you can verify, an authority you can bound, a policy that returns allow / observe / block / escalate before an action happens, and evidence you can check without trusting us. The framework is vendor-neutral; Metamynd's platform is one implementation of it.

01

The seven domains

  • Identity & Ownership
  • Authority & Delegation
  • Policy & Governance
  • Evidence & Audit
  • Risk & Assurance
  • Certification & Trust Marks
  • Federation & Interoperability
02

How the framework is enforced (MAGP)

Before a governed agent acts, it presents an Ed25519-signed request to the gate. The gate checks the agent's mandate, the enforced Standards, and the owner's SOPs with a deterministic policy engine and returns allow / observe / block / escalate — no LLM in the decision. Every verdict is anchored as tamper-proof evidence. The rules live in Metamynd and a compliance owner edits them live, with no redeploy of the agent.

03

The AI Trust Lifecycle

  • Establish identity — did:hedera or a caller-controlled did:key
  • Delegate authority — a VC-issued mandate bounded by scope, caps and merchants
  • Govern with policy — Standards & SOPs → allow / observe / block / escalate
  • Capture evidence — signed, Merkle-batched, anchored on Hedera
  • Assess risk — escalate high-risk actions to a human
  • Certify — KYC/KYB assurance + verifiable credentials
  • Operate continuously — TrustOps + the Trust Index
04

Framework deliverables

  • Principles
  • Governance operating model
  • Maturity model
  • Certification framework
  • TrustOps discipline
  • Trust Body of Knowledge
  • Global trust ecosystem
05

Vendor neutrality & interoperability

MATF is built on open standards — W3C DIDs & Verifiable Credentials, ODRL policy, and Hedera Consensus Service (HCS) — and interoperates with the Hashgraph Online (HOL) standards and the HCS-28 trust ecosystem. An agent trusted here can be recognised elsewhere, with no lock-in.

Example

See it in code

govern-a-tool.ts
import { createGuardFromConfig } from "@metamynd/agentsafe-guard";

const guard = await createGuardFromConfig("./agent.metamynd.json");

// Every governed tool call passes the mandate + Standards + SOP gate first.
const bookFlight = guard.guardTool("flight-purchase", rawBookFlight, mapArgs);

// $400 → allow · $600 → block (SOP_SPEND_CAP) · high-risk → escalate (RISK_REVIEW)

Adopt the AI Trust Framework