Auditant
The compliance system-of-record for AI agents
AI agents approve loans, move money, and ship code — but no reliable record exists of what they did or why. Logs are scattered across the app, the model provider, and the framework: none built for an auditor, all mutable, and most deleted long before anyone asks. Provider audit trails purge in days while regulations demand years.
Built a system-of-record that streams every agent action into a tamper-evident, hash-chained log, evaluates each action against policy before it executes, and exports evidence bundles a regulator can verify offline — without an account, without the vendor. Events from all four planes (application, model provider, framework, infrastructure) normalize into one auditable schema.
Tamper evidence that holds up — hash-chained records with verification tooling that catches a single flipped byte anywhere in the chain
Policy checks in the hot path — evaluating every action before execution without adding meaningful latency to the agent loop
Offline verification with zero vendor dependency — an auditor who has never heard of the product can validate an evidence bundle
Normalizing four different event planes (app, provider, framework, infra) into one schema an auditor can actually read
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