ATLAS — buyer-facing verification for AI agents
ATLAS is the buyer- and user-facing layer of the Agent Trust Framework. It answers a single question: how does someone who didn't build this agent decide whether to trust it?
- Roy Manzi
- 1 min read
ATLAS — buyer-facing verification for AI agents
ATLAS answers a question the engineering-side frameworks deliberately don't: how does a buyer, a user, or a regulator — someone who didn't build the agent — decide whether to trust it?
The lineage is the verification lineage of commerce. FDA approval. UL certification. Certificate transparency. SOC 2 reports. Each works by making a credible, external assertion about an artifact that the buyer can check without trusting the seller.
The five components
- Attested capability claims — what the agent can do, signed.
- Third-party audits — independently verifiable, with the auditor's scope made public.
- Public registry — where attestations and audits land, so buyers can look an agent up by ID.
- Incident disclosure — when something goes wrong, the registry records it.
- Revocation — attestations can be withdrawn, audibly, before quietly.
The hard part isn't the components. It's getting the registry trusted enough that buyers actually check it.
Author
Roy Manzi— Founder
Founder of Manzia AI. Researches agent trust frameworks and the operational gaps between agent design and deployment.