ISO/IEC 42001:2023 A.6.2.4: AI system verification and validation

What else in your programme already covers this

This control maps to 28 controls across 14 other frameworks. If you already hold one of them, the evidence you collected for it is the starting point here rather than new work.

EU AI Act · 6 controls

EUAI-Art.15 Accuracy, robustness and cybersecurity
EUAI-Art.17 Quality management system
EUAI-Art.43 Conformity assessment
EUAI-Art.55 Obligations of providers of GPAI models with systemic risk
EUAI-Art.60 Testing of high-risk AI systems in real world conditions outside AI regulatory sandboxes
EUAI-Art.8 Compliance with the requirements

ISO 27002:2022 · 4 controls

5.36 Compliance with policies, rules and standards for information security
8.29 Security testing in development and acceptance
8.31 Separation of development, test and production environments
8.33 Test information

NIST AI Risk Management Framework (AI RMF 1.0) · 3 controls

AIRMF-MS-2.1 Test sets, metrics, and details about the tools used during test, evaluation, validation, and verification are documented
AIRMF-MS-2.3 AI system performance or assurance criteria are measured qualitatively or quantitatively and demonstrated for conditions similar to deployment settings, and measures are documented
AIRMF-MS-2.5 The AI system to be deployed is demonstrated to be valid and reliable, and limitations of the generalizability beyond the conditions under which the technology was developed are documented

ASEAN Guide on AI Governance and Ethics · 2 controls

AIGE-OM-6 Repeatability and reproducibility
AIGE-P3 Security and Safety

Australia National Framework for the Assurance of AI in Government (2024) · 2 controls

5.2 5.2 Conduct pilot studies
5.3 5.3 Test and verify

CIS Controls v8 · 2 controls

CIS-16.13 Conduct Application Penetration Testing
CIS-18.4 Validate Security Measures

NIST SP 800-218 · 2 controls

SP800-218-PW.2.1 Qualified Review of Software Design
SP800-218-PW.8.1 Executable Testing for Security

AWS Well-Architected Security Pillar · 1 control

SEC11-BP02 Automate testing throughout the development and release lifecycle

Australia AI Ethics Framework · 1 control

AUAIE-5 Reliability and safety

FedRAMP High · 1 control

SA-11 Developer Testing and Evaluation

ISO 27001:2022 · 1 control

8.29 Security testing in development and acceptance

NIST SP 800-53 Rev 5 · 1 control

NIST800-SA-11 SA-11 Developer Testing and Evaluation

SOC 2 · 1 control

SOC2-PI1.3 PI1.3 Controls over system processing

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.6.2.4 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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