AI Compliance Evidence: Regulatory Proof for Every AI Decision
Regulated industries need more than AI logs. AI compliance evidence creates cryptographic, audit-ready proof that AI systems operated within policy at the moment of each decision.
What Makes Evidence Compliance-Grade
- Cryptographic Integrity: Every decision record is sealed with a cryptographic signature at the moment of inference. Any alteration invalidates the signature and reveals tampering.
- Policy Binding: Each record is bound to the specific policy version, model version, and configuration that governed the AI at inference time.
- Temporal Proof: Cryptographic timestamps prove when each decision occurred, preventing backdating and ensuring proper sequencing.
- Chain of Custody: From inference through storage and retrieval, every handoff is logged and verifiable.
Regulatory Frameworks Requiring Compliance Evidence
- HIPAA: AI decisions involving Protected Health Information require compliant audit trails
- SOX: AI-driven financial reporting and fraud detection require auditable decision records
- GDPR: Article 22 gives individuals the right to challenge automated decisions
- FDA 21 CFR Part 820: Quality System Regulation requires design controls and traceability for SaMD
- NIST AI RMF: Documented governance, transparency, and accountability requirements
- EU AI Act: Technical documentation, human oversight records, and logging for high-risk AI systems
How InferTrust Implements Compliance Evidence
InferTrust creates compliance-grade evidence by cryptographically signing every AI decision at the point of inference using device-bound hardware keys. Each record binds model version, input feature hash, confidence score, policy version, timestamp, decision action, and sequence ID into a single tamper-evident receipt.
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