AI Compliance Logging
Compliance logging for AI systems means producing cryptographically verifiable records of what data was used, what decisions were made, and who certified the artifacts — before an auditor asks. This page explains the compliance logging architecture required by major AI governance frameworks.
CertifiedData's Decision Ledger turns compliance logging from a documentation exercise into a cryptographic evidence trail. Each decision record is Ed25519-signed, hash-chained to the previous entry, and independently verifiable — satisfying regulators without requiring platform access.
Two Layers of AI Compliance Logging
Compliance logs must capture the provenance of every training dataset: its origin, generation method, fingerprint, and certification status. A CertifiedData certificate serves as the primary training data evidence record — binding the exact dataset bytes (via SHA-256 hash) to a timestamped, Ed25519-signed artifact that any third party can independently verify.
Beyond training data, AI compliance logging must capture operational decisions as evidence — not just what the system did, but cryptographic proof that each decision is linked to the certified dataset that informed it. The Decision Ledger provides an append-only, Ed25519-signed chain of decision records that regulators and auditors can verify without platform access.
Regulatory Framework Mapping
What a Compliance Log Entry Must Include
{
"certification_id": "uuid",
"timestamp": "2026-03-19T00:00:00Z",
"issuer": "Certified Data LLC",
"dataset_hash": "sha256:a7f3...",
"algorithm": "CTGAN",
"rows": 100000,
"columns": 25,
"schema_version": "certifieddata.cert.v1",
"signature": "ed25519:base64url...",
"verify_url": "https://certifieddata.io/verify/uuid"
}Each CertifiedData certification artifact serves as a compliance log entry. The dataset_hash is the fingerprint regulators will request. The signature is independently verifiable using the public key at /.well-known/signing-keys.json.
Decision Lineage Logging
AI compliance logging extends beyond datasets to operational decisions. CertifiedData's decision lineage layer records how certified artifacts were used by AI systems — linking training data certificates to model outputs via a tamper-evident, Ed25519-signed public decision log.
Decision records include the actor (agent or system), the decision label, the confidence score, and a reference to the certificate ID of the certified dataset that informed the decision. This creates an unbroken chain from raw training data to deployed AI output.
Start logging AI decisions today.
If your AI system makes decisions, you will need an audit log that holds up in front of a regulator. CertifiedData gives you a cryptographically signed, hash-chained record. Free tier includes 1,000 records/month — no credit card.
- 1Create a free accountNo credit card. Two minutes.
- 2Get your API keyOne key. Scoped, revocable, rotateable.
- 3Send your first decisionOne curl. Appears in the public ledger within seconds.
Related Evidence
Decision Ledger
Cryptographically verifiable AI decision records with auditability and live proof.
Compliance Logging
How CertifiedData supports audit-ready AI evidence workflows.
Decision Logging
Append-only, signed decision logs linked to certified artifacts.
Decision Traceability
Trace decisions from outcomes back to certified data sources.
Synthetic Data Certification
Dataset provenance, certification, and machine-verifiable artifact records.
Verify
Public verification for records, certificates, hashes, and signatures.