AI Compliance Software: What Auditors Actually Ask For
Compliance software earns its budget on one day: the day an auditor, a customer's security team or a regulator asks for evidence. Everything else is preparation for that request.
The five artifacts you will be asked for
- Interaction log — every prompt and completion, with user, timestamp, provider and model.
- Detection record — which sensitive entities were found, their type, severity and confidence.
- Policy decision — what action was applied (tokenize, mask, block) and under which rule version.
- Access trail — who revealed a tokenized value, when, and with what justification.
- Retention proof — evidence that data was deleted on schedule.
Why spreadsheets fail
Manual registers drift within weeks of shipping. If the evidence is not produced by the same layer that enforces the control, the two disagree — and the auditor trusts neither.
GDPR and EU AI Act overlap
The GDPR asks about lawful basis, minimization, DPIA and transfers. The EU AI Act adds risk classification, technical documentation, logging and human oversight for high-risk systems. Both are satisfied by the same underlying record if your platform logs decisions rather than just traffic.
Buying checklist
- Are logs immutable and exportable (CSV, signed PDF)?
- Can a DPO run a period report without engineering help?
- Is reveal of tokenized data itself audited?
- Are output detections logged, including streaming audit-only cases?
- Is tenant isolation enforced at the database level (RLS), not in application code?
See how this maps to a running system in the AI compliance software overview or read the GDPR checklist for LLM apps.