EU AI Act (Regulation on Artificial Intelligence) (European Union, high-risk AI systems) places obligations on organizations to demonstrate that operational controls were in place, that AI and automated decisions were governed, and that an audit trail exists for regulatory inquiry. Most existing audit-log architectures meet the letter of the requirement but produce evidence that is tied to the operator's current systems. If those systems change or fail, the evidence weakens.
H33-74 produces audit evidence that survives the system that produced it.
The receipt is cryptographically verifiable independent of the operator. The PQ signatures survive the quantum transition. The chain anchors survive any single chain's deprecation. The audit horizon is institutional, not application-bound.
What EU AI Act requires
The EU AI Act imposes obligations on providers and deployers of high-risk AI systems: risk management, data governance, technical documentation, record keeping, transparency, human oversight, accuracy and robustness. Article 12 specifically requires automatic logging of AI system activity to ensure traceability across the lifecycle. The logs must enable monitoring, post-market surveillance, and incident investigation by national competent authorities and the AI Office.
Why H33-74 fits
AI Act records have to survive the AI system's deployment lifecycle, vendor changes, and post-market surveillance horizons. Traditional logs leave the regulator dependent on the operator's word that the log is unaltered. H33-74 produces each AI decision as a cryptographically signed receipt that the regulator can verify directly. The receipt includes the model version, the input features (or their commitment), the output, the confidence, and the policy under which the decision was issued. Independent verification works regardless of the AI vendor's continued cooperation.
Control mapping
Article 12 logging
Each AI inference, decision, or autonomous action emits an H33-74 receipt at the moment of execution. Receipts include model identity, input commitment, output, and decision metadata.
Article 13 transparency to users
User-facing notifications, opt-outs, and consent records produce receipts that survive the platform that delivered them.
Article 14 human oversight
Human intervention events (override, escalation, correction) emit receipts that record who acted, when, and under what authority.
Article 17 quality management
Quality management decisions, model validation outcomes, and performance assessments produce receipts that compose into a verifiable QMS audit trail.
Article 61 post-market monitoring
Post-market monitoring events, incident classifications, and corrective actions emit receipts the AI Office can verify directly without operator coordination.
What this changes for the audit team
- Each control's evidence is a cryptographic object the auditor verifies directly, not a log entry the auditor trusts because the operator says so.
- The audit horizon extends beyond the operator's current systems, vendors, or chain choices.
- Regulator inquiry years after a decision can be answered with the original PQ-signed receipt rather than reconstructed from operator memory.
- Independent third-party verification works without the operator's infrastructure being available.
How H33-74 is integrated
- For each control that produces a decision or outcome, the system emits an H33-74 receipt at the moment the decision is made.
- Receipts are signed with three independent post-quantum signature families and contain the structured computation result.
- Receipts are anchored on one or more chains as the audit policy requires (delayed or immediate, single-chain or multi-chain).
- The audit team is given the receipt store and the open-source verifier. They verify independently.
The EU AI Act audit trail becomes chain-portable evidence. Each control's record outlives the system that produced it, the vendor that hosts it, and the chains it was anchored to.
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