ISO/IEC 42001:2023 A.4.3: Data resources

What else in your programme already covers this

This control maps to 12 controls across 9 other frameworks. If you already hold one of them, the evidence you collected for it is the starting point here rather than new work.

SOC 2 · 3 controls

SOC2-CC2.1 CC2.1 Relevant, quality information to support internal control (COSO principle 13)
SOC2-P3.1 P3.1 Collecting personal information consistent with objectives
SOC2-P7.1 P7.1 Quality of personal information

EU AI Act · 2 controls

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

Annex 11 to EU GMP - Computerised Systems · 1 control

Clause 5 Data

CIS Controls v8 · 1 control

CIS-3.2 Establish and Maintain a Data Inventory

Cloud Security Alliance Cloud Controls Matrix (CCM) v4.0.1 · 1 control

CCM-DSP-03 Data Inventory

ISO 27001:2022 · 1 control

5.9 Inventory of information and other associated assets

ISO 27002:2022 · 1 control

5.9 Inventory of information and other associated assets

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

AIRMF-MS-2.1 Test sets, metrics, and details about the tools used during test, evaluation, validation, and verification are documented

NIST Cybersecurity Framework 2.0 · 1 control

NIST-CSF-ID.AM-07 Inventories of data and corresponding metadata for designated data types are maintained

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.4.3 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.

See the released pairs, $299 each Browse the graph free