Audit & Evidence Generation

Trust that cannot be demonstrated later is fragile. Audit & Evidence Generation records the full context of every verified decision, the inputs, the verification signals, the policies applied, the trust score and any human review, into a structured record designed to be read by auditors, regulators and internal reviewers rather than only by engineers.

The capability treats evidence as a first-class output of verification, not an afterthought. Because the Proofence trust orchestration layer already reasons through each decision, the audit record is assembled from the same reasoning, keeping it faithful to what actually happened instead of reconstructed from logs after the fact.

Records are structured for review at scale. Teams can trace an individual decision end to end or examine patterns across many, showing how policies were applied over time and where human judgment intervened. This turns compliance and oversight from a periodic scramble into a continuous, queryable property of the system.

AtlasProof by Proofence builds on this foundation to organize and present evidence for the people accountable for AI, while Proofence Engine generates the underlying records at decision time. Together they let an organization answer, credibly and in detail, what its AI did and why.