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Metamynd
Continuous Operations for AI Trust

Operate trust the way modern teams operate security and cloud

TrustOps runs AI trust continuously — a live, signed Trust Index per agent, evidence anchoring, and human-in-the-loop escalation, all measurable across the estate.

The problem

Trust is treated as a one-off, not an operation

AI trust is usually established once — at launch — then drifts. Without continuous operations, evidence goes stale, policies fall behind, and certification lapses silently.

TrustOps

Trust as a continuous discipline

TrustOps computes a signed Metamynd Trust Index for every agent from its verified identity and governance track record, keeps evidence fresh and offline-verifiable, and routes drift and high-risk actions to review — the operating model of DevOps and SecOps, applied to trust.

Key Capabilities

What TrustOps does

The Trust Index

A signed, HCS-28 trust score per agent, with coverage and a full adapter breakdown.

Trust Monitoring

Track compliance rate, escalation discipline, mandate adherence and settlement over time.

EvidenceOps

Merkle-batched, HCS-anchored decisions — offline-verifiable, always audit-ready.

GovernanceOps

Edit Standards & SOPs live; every change takes effect without redeploy.

Escalation Review

Human-in-the-loop approval queues for held actions.

Trust Drift Detection

See the index and coverage move before trust fails.

Issue & Consume Trust

Publish trust records to HCS-28; consume a counterparty's score to guide review.

Executive Reporting

Board-ready trust posture, per agent and across the estate.

Architecture

How it fits together

TrustOps streams governance signals — decisions, escalations, evidence — into the Trust Index and monitoring pipelines, and publishes signed records to an HCS-28 transparency topic.

01Trust Index & reporting
02Drift & coverage monitoring
03EvidenceOps (Merkle / HCS anchoring)
04HCS-28 publish & consume
Use Cases

Where it applies

  • See a live, signed trust score for every agent
  • Keep every decision anchored and offline-verifiable
  • Route low-trust counterparties to human review, not an auto-block
  • Report trust posture to the board each quarter
Integrations

Works with your stack

AgentSafeVeriFAITrustCertHedera / HCS-28Observability & ticketing
Outcomes

What good looks like

Signed

trust index per agent

Continuous

trust monitoring

Offline

verifiable evidence

See TrustOps in action

Book a demo, or open the live product in the app to see it establish trust across your AI systems.