NIST AI Risk Management Framework (AI RMF 1.0)vsAdministrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022)
See exactly how NIST AI Risk Management Framework (AI RMF 1.0) controls map to Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022). Pre-computed mappings, identified gaps, and coverage analysis.
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According to the TheArtOfService Compliance Knowledge Graph:
NIST AI Risk Management Framework (AI RMF 1.0) maps to Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) with 14% coverage across 10 directly mapped controls. Analysis of 72 NIST AI Risk Management Framework (AI RMF 1.0) controls identifies 62 compliance gaps, primarily concentrated in MEASURE - NIST AI RMF 1.0.
Source: TheArtOfService Knowledge Graph | 72 controls analysed | 686 frameworks | 306K+ cross-framework mappings
Control Mappings
Showing 20 of 24 mapped controls across 4 domains. Sign up to explore all 306K+ mappings across 686 frameworks.
GOVERN - NIST AI RMF 1.0(9 mappings)
MANAGE - NIST AI RMF 1.0(3 mappings)
MAP - NIST AI RMF 1.0(5 mappings)
MEASURE - NIST AI RMF 1.0(3 mappings)
+4 more mappings
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A NIST AI Risk Management Framework (AI RMF 1.0) to Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) crosswalk, built to order
The table above lists candidate mappings. A crosswalk answers the narrower question you are probably here for: which Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) controls your existing NIST AI Risk Management Framework (AI RMF 1.0) work already satisfies, which are real gaps, and the reasoning behind every claim so you can check it. One pair, $299, one time.
This direction has not been through crosswalk review and sign off, so no coverage figure is published for it. Reporting an unreviewed number would be worse than reporting none. It can be built to order at the same price as a pair that is already on the shelf.
If the two frameworks turn out to have too little in common for a crosswalk to help you, we say so and refund it rather than send a number worth nothing.
This direction has not been through crosswalk review and sign off, so no coverage figure is published for it. Reporting an unreviewed number would be worse than reporting none. It can be built to order at the same price as a pair that is already on the shelf.
If the two frameworks turn out to have too little in common for a crosswalk to help you, we say so and refund it rather than send a number worth nothing.
- Every evidenced control, with the reasoning behind it
- Every gap, with what it requires
- Its level of review stated plainly, not a bare number
Why this page shows two different percentages. The 14% in the header counts how many NIST AI Risk Management Framework (AI RMF 1.0) controls carry at least one candidate mapping in the graph, before any review. The crosswalk percentage counts something stricter: how many Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) controls are actually evidenced, after a pass that argued against each mapping and kept only what survived. They answer different questions and they are not meant to agree.
A crosswalk narrows the work. It does not replace an audit, and your assessor may take a different view on individual controls. Mappings between frameworks are judgements, not text printed in either standard, which is why every claim in the report shows its reasoning. Questions go to support@theartofservice.com.
Related Comparisons
Other NIST AI Risk Management Framework (AI RMF 1.0) comparisons
Other Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) comparisons
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What are the key differences between NIST AI Risk Management Framework (AI RMF 1.0) and Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022)?
NIST AI Risk Management Framework (AI RMF 1.0) has 72 controls across its framework, while Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) covers 48 controls. Direct mapping analysis identifies 10 overlapping controls (14% coverage). The frameworks diverge most significantly in MEASURE - NIST AI RMF 1.0, where 20 NIST AI Risk Management Framework (AI RMF 1.0) controls have no direct Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) equivalent.
How many controls map between NIST AI Risk Management Framework (AI RMF 1.0) and Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022)?
Of 72 total NIST AI Risk Management Framework (AI RMF 1.0) controls, 10 map directly to Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) controls, representing 14% coverage. The remaining 62 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.
What are the compliance gaps when mapping NIST AI Risk Management Framework (AI RMF 1.0) to Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022)?
62 NIST AI Risk Management Framework (AI RMF 1.0) controls have no direct equivalent in Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022). The highest concentration of gaps is in MEASURE - NIST AI RMF 1.0 with 20 unmapped controls. These gaps represent areas where additional controls, policies, or documentation must be created to achieve compliance with both frameworks.
Which control domains have the most gaps between NIST AI Risk Management Framework (AI RMF 1.0) and Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022)?
The domain with the highest gap count is MEASURE - NIST AI RMF 1.0 (20 gaps). Export the full domain-by-domain gap breakdown via the Professional tier to generate a prioritised remediation roadmap.
Related Resources
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