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AI Hub / AI Trust Passport
TRUST PASSPORT · VERIFIED AI · EVIDENCE

A trust summary should remain connected to the evidence behind it.

A Trust Passport is useful when it communicates approved verification scopes without becoming a permanent badge detached from the artifact that was reviewed. Zippri ties passport currentness to the verification subject and supports independent verification and revocation.

AI Trust Passportverified AI modelAI certification evidenceAI trust verificationmodel passport
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Public before loginCore information is readable without an account.
Evidence-awareProduct claims follow current verified platform state.
Human authorityHigh-risk actions remain explicitly approval-gated.
End-to-end AI lifecycleBuild, verify, benchmark, deploy and commercialize.

What a Trust Passport represents

The passport records approved scopes for a subject after the relevant verification decision. It is not a substitute for provenance, benchmark evidence or policy.

Approved scopes

Communicate what was actually reviewed.

Cryptographic verification

Verify passport evidence independently.

Revocation support

Keep authority to revoke trust when required.

Currentness matters

If a material artifact changes, earlier trust evidence should not silently follow the new state. Zippri can distinguish a valid historical passport from a current passport.

Public verification without exposing private assets

A public verification surface can validate the passport identity and signature while the private repository or organization data remains protected.

Common questions about AI Trust Passport

Is an AI Trust Passport a government certificate?

No. It is a Zippri platform trust artifact tied to the platform’s verification lifecycle unless an external authority is explicitly identified.

Does a passport guarantee an AI is always safe or correct?

No. It records approved verification scopes and current evidence; it does not eliminate model limitations or future change.

Can the passport become stale?

Yes. Material changes can make the earlier subject non-current and require a new verification lifecycle.

Related AI Hub topics

AI VerificationVerify AI artifacts against current evidence, issue signed verification receipts and govern Trust Passports without converting self-claims into approval.AI ProvenanceBuild signed AI provenance graphs linking repositories, revisions, Git, CAS, datasets, environments, checkpoints, benchmarks, verification and releases.AI BenchmarkingRun reproducible AI benchmarks against immutable revisions with case-level evidence, signed results, worker execution and currentness checks.AI GovernanceApply server-side AI lifecycle policies, human approval gates, audit history, cost controls and fail-closed evidence rules across training, release and deployment.
Zippri separates engineering readiness from external/provider acceptance. Public pages preserve REVIEW and external-gate states instead of presenting unfinished external integrations as live.