DARR
MR-069 Governance & process System scope

Inadequate logging, record-keeping and traceability

AI systems do not record sufficient event logs and decision records, so behavior cannot be reconstructed, audited, or investigated after the fact.

Risk family
Governance & process
MIT domain
n/a (ISO-derived)
MIT subdomain
n/a
AI type
GPAI, Agentic, Classical_ML
Scope
System
Source standard
ISO/IEC 23894 + 42001 (gap analysis)

Provenance

Source standard
ISO/IEC 23894 + 42001 (gap analysis)
Source frameworks
ISO/IEC 42001:2023
ISO/IEC references
42001 Annex A, A.6.2.8
EU AI Act articles
Art. 12 | Art. 26(6)
Nearest MIT-derived risk
MR-055 Lack of explainability: interpretability of a decision, not operational log capture and retention.

Framework crosswalk

Every framework item mapped to this risk. Items marked partial overlap only in part; definitions appear on hover where the source licence permits.

Sourcesframeworks that contributed to the register
ISO 420011
  • A.6.2.8 ISO/IEC 42001 Annex A A.6.2.8
EU AI Act2
  • Art. 12
  • Art. 26(6)

Part of the Deployer AI Risk Register, an open-source resource developed by MindXO. Version 1.0, 3 July 2026. Derived from the MIT AI Risk Repository (V4, December 2025) under CC BY 4.0; an independent derivative work, not endorsed by or affiliated with MIT. Sub-risk decomposition references MITRE ATLAS™ v5.6.0 (© 2021-2026 The MITRE Corporation, reproduced and distributed with permission). ISO/IEC and EU AI Act references are by number only. License: CC BY 4.0. Full attribution and licensing.