RK-007AltoProveedor & DesplegadorDetective
Registro de detección de anomalías y errores
El sistema de registro debe capturar el comportamiento anómalo, los errores y los resultados inesperados del sistema de IA en funcionamiento, permitiendo la detección oportuna de la degradación del rendimiento y activando procedimientos de acción correctiva.
Artículos:Article 12(1)Article 72(1)
Ejemplos de evidencia
- Error detection log configuration
- Anomaly alert procedure
- Error rate trending report
Normas
ISO 42001:2023 §9.1ISO/IEC 27001:2022 A.8.15
Controles relacionados
- RK-001Automatic Event Logging CapabilityArticle 12(1) requires that high-risk AI systems are designed and developed with automatic logging capabilities, enabling the reconstruction of events…
- 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…
Términos relacionados de la Ley de IA
- Post-Market MonitoringProactive collection and review of experience gained from the use of high-risk AI systems, to identify any need for corrective or preventive actions and ensure continued compliance throughout the system lifecycle.
- Logging CapabilitiesThe automatic recording of events by a high-risk AI system during its operation — required under Article 12 to enable monitoring of its operation, post-hoc investigation of incidents, and to support the post-market monitoring obligations of providers and deployers.
Actualice cuando la conformidad deba ser
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