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Compliance and Audit

Summary​

Compliance and audit for AI is about proving that required controls are working continuously, not just during audit season. This page defines how to collect, manage, and review evidence across build, release, and runtime stages.

Who Should Read This​

  • Compliance and internal audit teams supporting AI assurance.
  • Platform teams implementing evidence capture and control automation.
  • Product owners shipping regulated or high-impact AI workflows.

Prerequisites​

Why This Matters​

  • Manual evidence collection creates delays and inconsistent audit outcomes.
  • Automated attestations reduce release friction and increase trust with stakeholders.
  • A shared evidence model improves consistency across teams and use cases.

Core Concepts​

  • Control catalog: map obligations to controls, owners, and required evidence.
  • Evidence lifecycle: generation, retention, access, and tamper-resistance.
  • Audit readiness score: measure completeness of required attestations per use case.

Use this flow to set decision order, gate criteria, and rollout readiness before implementation starts.

Diagram​

Implementation Steps​

  1. Define a control inventory with owners, frequency, and evidence requirements.
  2. Automate build-time checks and release gates for mandatory controls.
  3. Centralize runtime evidence with retention and access policies.
  4. Establish recurring attestation reviews with compliance and engineering leads.
  5. Track findings, remediation SLAs, and control effectiveness trends.

Evidence Checklist​

  • Identity and access logs for model and tool invocation.
  • Release approval records tied to control checks.
  • Runtime incident logs and remediation history.
  • Data retention, deletion, and policy exception records.

Realistic Example​

A regulated enterprise reduced quarterly audit preparation from weeks to days by automating evidence capture in CI/CD and runtime gateways. Audit findings shifted from missing documentation to actionable control improvements.

Senior Tech vs Dev Conversation​

Senior Tech: What is the first failure mode for Compliance and Audit? Dev: Evidence is collected manually and only when audit deadlines approach. Senior Tech: What prevents that? Dev: Treat evidence generation as part of release and runtime operations.

UX/UI Checklist​

  • Show control status by obligation, owner, and latest attestation date.
  • Highlight missing evidence and expired attestations as blockers.
  • Provide one-click evidence exports with access controls.
  • Display remediation SLA progress for open findings.

Common Pitfalls​

  • Keeping evidence in spreadsheets disconnected from system telemetry.
  • Treating policy exceptions as permanent without periodic revalidation.
  • Auditing only quarterly without continuous control health monitoring.

References and Next Steps​