Glossary / AI Audit Platform

Definition

What is AI Audit Platform?

Audit platform for AI

An AI audit platform makes every AI decision re-executable, attested, and independently verifiable, so the audit, the regulator, and the public trust page read from one ledger. Trinitite combines a deterministic kernel, a unified Merkle ledger, a replay service, and an attestation hub under signed SSAE 21 / ISAE 3000 reports and PDF/A-3 workpapers.

Classical audit samples a population and trusts management’s system description. When the system is a non-deterministic model, sampling and trust both break. The fix is to make “re-run the model” binary — a CI gate refuses drift — and seal every governance event into one Merkle root per epoch, externally anchored to RFC 3161 + Sigstore Rekor.

On that substrate sit signed SSAE 21 §205 / ISAE 3000 direct-examination reports, native AS 1215 tick-marks, ISA 505 confirmations, AS 2301 sampling projection, an EQCR (PCAOB AS 1220) issuance gate, ~20 control packs, a public browser verifier with a QR code on every report, and independence-safe-by-schema access — the external_auditor role is write-guarded at the permission layer. Auditors re-verify rather than trust.