Crosswalk pair

ISO/IEC 42001 and NIST AI Risk Management Framework, control by control

6 canonical controls in Keel’s library satisfy clauses of both ISO/IEC 42001 and NIST AI Risk Management Framework. Implement each once, attach the evidence once, and it counts toward each standard. The overlap is the work you don’t repeat.

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The overlap

What the two libraries have in common

Every figure here counts canonical controls in Keel’s library, not clauses of either standard. Each standard’s own authored count is on its framework page.

6

Controls that satisfy both

Canonical controls that crosswalk to at least one clause of each.

16

In Keel’s library for ISO/IEC 42001

38% of them also map to NIST AI Risk Management Framework.

8

In Keel’s library for NIST AI Risk Management Framework

75% of them also map to ISO/IEC 42001.

13

Evidence artifacts expected

Across the shared controls, from Keel’s evidence guidance. Gathered once.

ISO/IEC 42001 2023 38%

6 controls of 16 in Keel’s library for ISO/IEC 42001 also map to NIST AI Risk Management Framework.
NIST AI Risk Management Framework 1.0 75%

6 controls of 8 in Keel’s library for NIST AI Risk Management Framework also map to ISO/IEC 42001.

The mapping

Controls that satisfy both

Each row is one control in Keel’s library and the clauses it answers on each side. Do the work once; both columns are then evidenced by the same artifacts.

ISO/IEC 42001 and NIST AI Risk Management Framework controls that satisfy both, with the clauses each maps to
Canonical control	ISO/IEC 42001 clauses	NIST AI Risk Management Framework clauses
AI policy A documented, leadership-approved policy for the responsible development and use of AI, aligned with the organization’s other policies and reviewed at planned intervals.	A.2.2, A.2.3, A.2.4	GOVERN-1.2
AI roles & accountability Defined and allocated responsibilities for AI across the organization, plus a way for staff to raise concerns about the organization’s AI.	A.3.2, A.3.3	GOVERN-2.1
AI system impact assessment A process to assess the potential impacts of AI systems on individuals, groups, and society, and to document and act on the results.	A.5.2, A.5.4	MAP-5.1
AI verification, validation & robustness Testing that an AI system meets its requirements and performs with appropriate accuracy, robustness, and security before and during use.	A.6.2.4	MEASURE-2.3, MEASURE-2.4, MEASURE-2.5, MEASURE-2.7
AI monitoring & malfunction reporting Ongoing monitoring of AI systems in operation, with a process to detect, communicate, and report malfunctions and serious incidents.	A.6.2.6, A.8.4	MANAGE-4.1, MANAGE-4.3
AI supplier & third-party management Allocation of responsibilities with, and oversight of, the suppliers and third parties involved in developing or providing AI systems and components.	A.10.2, A.10.3	GOVERN-6.1, MANAGE-3.1

Beyond the pair

Where else this work counts

A framework is lit when a shared control above also maps to it. Unlit means none of them do — an absence, not a judgment about that standard.

Also reached by these 6 controls

AI Governance Essentials
Amazon Appstore Child-Directed Apps
Apple App Store Kids Category
CIS Critical Security Controls
COPPA
ESG Essentials
EU AI Act
GDPR
Google Play Families
HIPAA
ISO 9001
ISO/IEC 27001
NIST Cybersecurity Framework
NIST SP 800-171
NIST SP 800-53
PCI DSS
SOC 2
SOX (Sarbanes-Oxley) Section 404
US Employment Law - Federal Baseline

Nearby pairs

The thesis

Why this is one project, not two

On a crosswalk-native model, NIST AI Risk Management Framework mostly lights up controls you already built for ISO/IEC 42001. You’re not re-uploading the same screenshot for a second audit. You apply the framework and see the genuine delta worth working. That’s the whole idea behind collect once, comply everywhere.

Next step

Add NIST AI Risk Management Framework to the work you already did

Apply both frameworks in one workspace and see the overlap measured against the controls you already hold.

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