ISO/IEC 42001:2023
Operation – ISO/IEC 42001:2023

ISO/IEC 42001:2023 8.4: AI system impact assessment

Carry out AI system impact assessments on the 6.1.4 basis at scheduled intervals and whenever significant changes are proposed, and keep documented results of all of them.

Maintained by Gerard BlokdykControl text last updated

What else in your programme already covers this

This control maps to 32 controls across 16 other frameworks. If you already hold one of them, the evidence you collected for it is the starting point here rather than new work.

NIST SP 800-53 Rev 5 · 5 controls

CIS Controls v8 · 4 controls

  • CIS-3.1 Establish and Maintain a Data Management Process
  • CIS-3.2 Establish and Maintain a Data Inventory
  • CIS-3.7 Establish and Maintain a Data Classification Scheme
  • CIS-3.8 Document Data Flows

ISO 27001:2022 · 4 controls

  • 5.34 Privacy and protection of personal identifiable information (PII)
  • 8.11 Data masking
  • 8.13 Information backup
  • 8.33 Test information

ISO 27002:2022 · 4 controls

  • 5.34 Privacy and protection of PII
  • 8.11 Data masking
  • 8.12 Data leakage prevention
  • 8.13 Information backup

SOC 2 · 4 controls

  • SOC2-C1.1 C1.1 Identifying and maintaining confidential information
  • SOC2-CC6.3 CC6.3 Role-based access, least privilege and segregation of duties
  • SOC2-P3.1 P3.1 Collecting personal information consistent with objectives
  • SOC2-P4.1 P4.1 Limiting use to identified purposes

ISO 22000:2018 · 1 control

  • 8.4 Emergency preparedness and response

ISO 22301:2019 · 1 control

  • 8.4 Business continuity plans and procedures

ISO 27701:2019 · 1 control

  • 8.4 Privacy by design and privacy by default

ISO 37001:2016 · 1 control

  • 8.4 8.4 Non-financial controls

ISO 37301:2021 · 1 control

  • 8.4 Investigation processes

ISO 9001:2015 · 1 control

  • 8.4 Control of externally provided processes, products and services

ISO/IEC 38500:2024 · 1 control

  • 5.9 Data and decisions
  • NIST-CSF-ID.RA-04 Potential impacts and likelihoods of threats exploiting vulnerabilities are identified and recorded
  • 10.4 10.4 Apply the AIAF at lifecycle points and on material change

PCI DSS 4.0 · 1 control

  • 7.2.1 7.2.1 Access control model defined

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.

Other controls in Operation – ISO/IEC 42001:2023

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

ISO/IEC 42001:2023 8.4 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.

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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The graph holds this control, the 32 it maps to, and the evidence behind each claim, over MCP and REST.