RK-001CriticalProviderDetective
Automatic Event Logging Capability
Article 12(1) requires that high-risk AI systems are designed and developed with automatic logging capabilities, enabling the reconstruction of events relevant to identifying risks and substantial modifications throughout the system's lifetime.
Articles:Article 12(1)Article 12(2)
Evidence Examples
- Logging architecture specification
- Automated log sample outputs
- Logging coverage audit
Standards
ISO 42001:2023 §9.1ISO/IEC 27001:2022 A.8.15
Related controls
- RK-002Log Integrity and Tamper ProtectionProviders must ensure that logs are protected against tampering, unauthorised deletion, or modification, using cryptographic integrity controls,…
- RK-003Log Retention for Minimum 10 YearsArticle 18(1) requires that providers retain technical documentation and logs for at least 10 years after the high-risk AI system is placed on the market…
- RK-004Log Accessibility for Competent AuthoritiesProviders must ensure that event logs are accessible to competent national authorities and market surveillance authorities upon request, with procedures…
- RK-005Event Traceability and ReconstructionLogs must enable the tracing and reconstruction of decision events to understand the inputs processed, the outputs generated, and the conditions under…
- RK-006Performance and Operational Metrics LoggingProviders must log performance and operational metrics relevant to verifying that the AI system operates within the parameters established in the…
- RK-007Anomaly and Error Detection LoggingThe logging system must capture anomalous behaviour, errors, and unexpected outputs from the AI system in operation, enabling timely detection of…
Related EU AI Act terms
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