record-keeping-audit

To verify AI logging compliance with Article 12, evaluate automatic logging, traceability, data retention policies, and alerting mechanisms by inspecting system logs, configuration files, and documentation to ensure regulatory adherence.

High-risk AI system traceability and record-keeping require automatic logging capabilities, proper log retention policies, and monitoring mechanisms to ensure accountability and meet regulatory compliance standards.

Audit an AI system's log retention and monitoring by using an audit checklist to verify logging frameworks, gather configuration files, and inspect documentation demonstrating proper traceability and alerting mechanisms.

Preparing for an AI regulatory audit requires collecting system logs, configuration files, and documentation that demonstrate automatic logging, traceability, and data retention policies are properly implemented.

You can assess existing AI systems for automatic logging and alerting compliance by providing the documentation or codebase of your logging and monitoring setup for an automated compliance review.