AI Compliance System: Regulatory Readiness for AI Systems
An AI compliance system ensures that AI systems meet regulatory requirements for transparency, data provenance, decision traceability, and audit-ready record-keeping.
Compliance is not documentation. It is verifiable evidence. CertifiedData produces cryptographic compliance artifacts — not PDF reports, not attestations, not manual records.
The compliance gap most organizations miss
Most organizations approach AI compliance by writing documentation: data cards, model cards, audit reports. These documents describe what was done — but they cannot prove it.
A regulator or auditor who receives a PDF describing training data provenance cannot verify whether the data actually matched the description. CertifiedData closes this gap by replacing documentation with cryptographic evidence — records that can be independently verified by any party, at any time, without contacting CertifiedData.
What a compliance system must provide
Data provenance
Auditable evidence of where training data came from, how it was generated, and that it matches the certified version. SHA-256 certificates provide machine-verifiable provenance.
Decision traceability
The ability to trace any AI decision back to the data and model that produced it. Decision logs with dataset_certificate_id references enable full lineage reconstruction.
Tamper-evident records
Compliance records must not be alterable after the fact. Append-only, chain-linked decision logs with Ed25519 signatures provide this guarantee.
Independent auditability
Auditors must be able to verify records without relying on the system operator. Public key verification means any party can check certificates and log signatures independently.
CertifiedData compliance stack
Dataset certification
SHA-256 fingerprinting + Ed25519 signing of synthetic datasets. Satisfies EU AI Act Article 10 (data governance) and GDPR Article 25 (privacy by design).
Decision logging
Append-only, chain-linked log of every AI decision with dataset references and signatures. Satisfies EU AI Act Article 12 (record-keeping).
Artifact verification
Public endpoint for independent verification of any certified artifact — no issuer access required. Satisfies EU AI Act Article 19 (external audit capability).
Transparency registry
Publicly accessible log of decisions and certificates. Enables conformity assessment bodies to verify system behavior directly.
Compliance coverage by regulation
EU AI Act
Articles 10, 12, 19Data provenance, automatic logging, technical documentation for auditors
GDPR
Articles 5, 25Data minimization evidence via certified synthetic datasets — no real personal data used
HIPAA
De-identification standardsCertified synthetic healthcare data proves no PHI was used in AI training
ISO 42001
AI management systemAuditability and traceability requirements via decision logs and artifact registry