ISO/IEC 42001:2023
Annex A AIMS controls - A.10 Third-party and customer relationships

ISO/IEC 42001:2023 A.10.3: Suppliers

Set up a process so that the services, products or materials the organization obtains from suppliers fit its approach to developing and using AI systems responsibly.

Maintained by Gerard BlokdykControl text last updated

What else in your programme already covers this

This control maps to 44 controls across 20 other frameworks. If you already hold one of them, the evidence you collected for it is the starting point here rather than new work.

FedRAMP High · 5 controls

  • SA-4 Acquisition Process
  • SA-9 External System Services
  • SR-2 Supply Chain Risk Management Plan (SR-2)
  • SR-3 Supply Chain Controls and Processes (SR-3)
  • SR-6 Supplier Assessments and Reviews (SR-6)

FedRAMP Moderate · 5 controls

  • SA-4 Acquisition Process
  • SA-9 External System Services
  • SR-2 Supply Chain Risk Management Plan (SR-2)
  • SR-3 Supply Chain Controls and Processes (SR-3)
  • SR-6 Supplier Assessments and Reviews (SR-6)

NIST SP 800-53 Rev 5 · 5 controls

ISO 27001:2022 · 4 controls

  • 5.19 Information security in supplier relationships
  • 5.20 Addressing information security within supplier agreements
  • 5.21 Managing information security in the information and communication technology (ICT) supply chain
  • 8.30 Outsourced development

EU AI Act · 3 controls

ISO 27002:2022 · 3 controls

  • 5.19 Information security in supplier relationships
  • 5.20 Addressing information security within supplier agreements
  • 8.30 Outsourced development
  • AIRMF-GV-6.1 Policies and procedures are in place that address AI risks associated with third-party entities, including risks of infringement of a third party's intellectual property or other rights
  • AIRMF-MN-3.1 AI risks and benefits from third-party resources are regularly monitored, and risk controls are applied and documented
  • AIRMF-MP-4.2 Internal risk controls for components of the AI system including third-party AI technologies are identified and documented

CIS Controls v8 · 2 controls

  • CIS-15.1 Establish and Maintain an Inventory of Service Providers
  • CIS-15.2 Establish and Maintain a Service Provider Management Policy
  • NIST-CSF-GV.SC-04 Suppliers are known and prioritized by criticality
  • NIST-CSF-GV.SC-05 Requirements to address cybersecurity risks in supply chains are established, prioritized, and integrated into contracts and other types of agreements with suppliers and other relevant third parties
  • ANSSI-HYG-03 Control the Risks of Outsourced Information System Management

APPI · 1 control

APRA CPS 234 · 1 control

  • CPS234-16 Assessment of Related Party and Third Party Capability
  • C.5 C.5 Procurement cornerstone: AI-aware procurement and contracts

HIPAA Security Rule · 1 control

  • 164.308(b)(1) Business Associate Contracts and Other Arrangements (Standard)
  • 03.17.01 Supply Chain Risk Management Plan

NIST SP 800-218 · 1 control

  • 164.308(b)(1) Business Associate Contracts and Other Arrangements (Standard)
  • 5.4.2.f 5.4.2 f Management of third-party supplier risks

SOC 2 · 1 control

  • SOC2-CC9.2 CC9.2 Assessing and managing vendor and business partner risk

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 Annex A AIMS controls - A.10 Third-party and customer relationships

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

ISO/IEC 42001:2023 A.10.3 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.

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 44 it maps to, and the evidence behind each claim, over MCP and REST.