A.6.2.7 AI-System Technical Documentation

ISO/IEC 42001:2023 · 2023

What the standard requires

ISO standards are sold per copy and may not be redistributed, so the control text cannot be embedded in this product.

The first management-system standard for artificial intelligence. It defines requirements for an AI management system — governance, risk, impact assessment, and lifecycle controls for organizations that develop, provide, or use AI — with its control set in Annex A and implementation guidance in Annex B.

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If your organisation holds a licence for ISO/IEC 42001:2023, CMDash can load the real text against every control through the framework import, where it is stamped as tenant-provided.

Maps to 2 controls in 1 other framework

Framework	Control
NIST AI Risk Management Framework 1.0	MEASURE-2.8 Risks associated with transparency and accountability – as identified in the MAP function – are examined and documented.
	MEASURE-2.9 The AI model is explained, validated, and documented, and AI system output is interpreted within its context – as identified in the MAP function – to inform responsible use and governance.

Mappings are CMDash’s own, seeded with the product and shown on both frameworks they connect. In the product they mean evidence you attach here also counts against the controls listed above.

Integrations that carry evidence for this family

GitHub Advanced Security

Vulnerabilities

These connectors produce data relevant to ISO/IEC 42001:2023’s AI System Life Cycle family, which is the granularity CMDash publishes — there is no pre-built per-control mapping, and claiming one would be inventing it. You decide which evidence answers which control.

Track A.6.2.7 with evidence behind it

In CMDash this control is a row with an owner, a status, uploaded evidence kept with its full history, and an export an assessor can read.

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