Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022)vsNIST AI Risk Management Framework (AI RMF 1.0)
See exactly how Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) controls map to NIST AI Risk Management Framework (AI RMF 1.0). Pre-computed mappings, identified gaps, and coverage analysis.
According to the TheArtOfService Compliance Knowledge Graph:
Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) maps to NIST AI Risk Management Framework (AI RMF 1.0) with 38% coverage across 18 directly mapped controls. Analysis of 48 Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) controls identifies 30 compliance gaps — primarily concentrated in Algorithm Recommendation.
Source: TheArtOfService Knowledge Graph | 48 controls analysed | 723 frameworks | 332K+ cross-framework mappings
Control Mappings
Showing 20 of 25 mapped controls across 4 domains. Sign up to explore all 332K+ mappings across 723 frameworks.
Algorithm Recommendation(9 mappings)
Deep Synthesis(5 mappings)
Ethics(1 mappings)
Generative AI Measures(5 mappings)
+5 more mappings
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Related Comparisons
Other Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) comparisons
Other NIST AI Risk Management Framework (AI RMF 1.0) comparisons
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What are the key differences between Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) and NIST AI Risk Management Framework (AI RMF 1.0)?
Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) has 48 controls across its framework, while NIST AI Risk Management Framework (AI RMF 1.0) covers 52 controls. Direct mapping analysis identifies 18 overlapping controls (38% coverage). The frameworks diverge most significantly in Algorithm Recommendation, where 13 Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) controls have no direct NIST AI Risk Management Framework (AI RMF 1.0) equivalent.
How many controls map between Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) and NIST AI Risk Management Framework (AI RMF 1.0)?
Of 48 total Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) controls, 18 map directly to NIST AI Risk Management Framework (AI RMF 1.0) controls — representing 38% coverage. The remaining 30 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.
What are the compliance gaps when mapping Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) to NIST AI Risk Management Framework (AI RMF 1.0)?
30 Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) controls have no direct equivalent in NIST AI Risk Management Framework (AI RMF 1.0). The highest concentration of gaps is in Algorithm Recommendation with 13 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 Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) and NIST AI Risk Management Framework (AI RMF 1.0)?
The domain with the highest gap count is Algorithm Recommendation (13 gaps). Export the full domain-by-domain gap breakdown via the Professional tier to generate a prioritised remediation roadmap.
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