Cross-Framework Mapping

NIST AI 600-1 Generative AI ProfilevsISO/IEC 23894:2023

See exactly how NIST AI 600-1 Generative AI Profile controls map to ISO/IEC 23894:2023. Pre-computed mappings, identified gaps, and coverage analysis.

33
Controls Mapped
10
Gaps Found
33%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

NIST AI 600-1 Generative AI Profile maps to ISO/IEC 23894:2023 with 33% coverage across 14 directly mapped controls. Analysis of 43 NIST AI 600-1 Generative AI Profile controls identifies 29 compliance gaps — primarily concentrated in GAI Risk Categories.

Source: TheArtOfService Knowledge Graph | 43 controls analysed | 693 frameworks | 819K+ cross-framework mappings

Control Mappings

Showing 20 of 33 mapped controls across 5 domains. Sign up to explore all 819K+ mappings across 693 frameworks.

Govern(10 mappings)

AIRMF-GOV-01AI Risk Management Policies6 targets
ISO23894-1Scope of AI Risk Management
ISO23894-3AI-Specific Terminology
ISO23894-5.1Leadership and Commitment
ISO23894-5.2AI Risk Management Integration
ISO23894-5.5Framework Evaluation
ISO23894-6.2Scope, Context and Criteria
AIRMF-GOV-02AI Risk Culture3 targets
ISO23894-5.1Leadership and Commitment
ISO23894-5.2AI Risk Management Integration
ISO23894-5.5Framework Evaluation
NIST-AI600-GOV-1Legal and Regulatory Compliance
ISO23894-A.5Privacy and Data Protection in AI

Manage(5 mappings)

AIRMF-MAN-01AI Risk Treatment3 targets
ISO23894-5.1Leadership and Commitment
ISO23894-5.2AI Risk Management Integration
ISO23894-5.5Framework Evaluation
NIST-AI600-MGT-3Third-Party Dependency Management
ISO23894-A.6AI System Security
NIST-AI600-MGT-5Decommissioning Procedures
ISO23894-A.5Privacy and Data Protection in AI

Map(5 mappings)

AIRMF-MAP-02AI Risk Identification3 targets
ISO23894-6.3AI Risk Assessment
ISO23894-6.3.1AI Risk Identification
ISO23894-6.3.3AI Risk Evaluation
AIRMF-MAP-03AI Impact Assessment2 targets
ISO23894-6.3AI Risk Assessment
ISO23894-6.3.1AI Risk Identification

+13 more mappings

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What are the key differences between NIST AI 600-1 Generative AI Profile and ISO/IEC 23894:2023?

NIST AI 600-1 Generative AI Profile has 43 controls across its framework, while ISO/IEC 23894:2023 covers 33 controls. Direct mapping analysis identifies 14 overlapping controls (33% coverage). The frameworks diverge most significantly in GAI Risk Categories, where 11 NIST AI 600-1 Generative AI Profile controls have no direct ISO/IEC 23894:2023 equivalent.

How many controls map between NIST AI 600-1 Generative AI Profile and ISO/IEC 23894:2023?

Of 43 total NIST AI 600-1 Generative AI Profile controls, 14 map directly to ISO/IEC 23894:2023 controls — representing 33% coverage. The remaining 29 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.

What are the compliance gaps when mapping NIST AI 600-1 Generative AI Profile to ISO/IEC 23894:2023?

29 NIST AI 600-1 Generative AI Profile controls have no direct equivalent in ISO/IEC 23894:2023. The highest concentration of gaps is in GAI Risk Categories with 11 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 600-1 Generative AI Profile and ISO/IEC 23894:2023?

The domain with the highest gap count is GAI Risk Categories (11 gaps). Export the full domain-by-domain gap breakdown via the Professional tier to generate a prioritised remediation roadmap.

This platform provides educational compliance tools, not legal, regulatory, or professional compliance advice. Cross-framework mappings are AI-assisted interpretations and do not reproduce or replace official standards. Framework names and trademarks belong to their respective owners. Consult qualified professionals for your specific compliance requirements. See our Terms of Service.