ISO/IEC 42001:2023 A.7.2: Data for development and enhancement of AI system

What else in your programme already covers this

This control maps to 13 controls across 7 other frameworks. If you already hold one of them, the evidence you collected for it is the starting point here rather than new work.

ISO 27002:2022 · 5 controls

5.37 Documented operating procedures
8.25 Secure development life cycle
8.29 Security testing in development and acceptance
8.31 Separation of development, test and production environments
8.33 Test information

EU AI Act · 2 controls

EUAI-Art.10 Data and data governance
EUAI-Art.17 Quality management system

SOC 2 · 2 controls

SOC2-CC2.1 CC2.1 Relevant, quality information to support internal control (COSO principle 13)
SOC2-PI1.1 PI1.1 Quality information about processing objectives, data definitions and specifications

AWS Well-Architected Security Pillar · 1 control

SEC07-BP04 Define scalable data lifecycle management

Australia National Framework for the Assurance of AI in Government (2024) · 1 control

C.2 C.2 Data governance cornerstone: datasets and governance fit for AI

NIST AI Risk Management Framework (AI RMF 1.0) · 1 control

AIRMF-MP-2.3 Scientific integrity and TEVV considerations are identified and documented, including those related to experimental design, data collection and selection, system trustworthiness, and construct validation

Every mapping shown was judged rather than inferred from wording similarity, and the ones that failed review are published too. See the coverage reports and what was rejected.

You are reading one control. How much of ISO/IEC 42001:2023 have you already done?

ISO/IEC 42001:2023 A.7.2 is one control. If you already hold one of the frameworks below, a reviewed crosswalk already says how much of ISO/IEC 42001:2023 your existing evidence covers. Hold NIST AI Risk Management Framework (AI RMF 1.0) and 30 of 38 ISO/IEC 42001:2023 controls already carry evidence.

If you hold NIST AI Risk Management Framework (AI RMF 1.0)78.9% covered · 8 gaps If you hold EU AI Act57.9% covered · 16 gaps

Each report names every control your existing framework evidences, every one it does not, the reasoning behind each claim, and the claims that were argued against and rejected. 0 were rejected on the NIST AI Risk Management Framework (AI RMF 1.0) pair alone.

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