Cross-Framework Mapping

NIST AI 600-1 Generative AI ProfilevsISO/IEC 27557:2022 — Organisational Privacy Risk Management

See exactly how NIST AI 600-1 Generative AI Profile controls map to ISO/IEC 27557:2022 — Organisational Privacy Risk Management. Pre-computed mappings, identified gaps, and coverage analysis.

31
Controls Mapped
12
Gaps Found
26%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

NIST AI 600-1 Generative AI Profile maps to ISO/IEC 27557:2022 — Organisational Privacy Risk Management with 26% coverage across 11 directly mapped controls. Analysis of 43 NIST AI 600-1 Generative AI Profile controls identifies 32 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 31 mapped controls across 5 domains. Sign up to explore all 819K+ mappings across 693 frameworks.

Govern(9 mappings)

AIRMF-GOV-01AI Risk Management Policies7 targets
23837-1.1Scope
27557-1Scope
27557-3Terms and definitions
27557-6.2Scope, context, and criteria for privacy
27557-6.4Privacy risk treatment
27557-6.6Recording and reporting
27557-7.3Risk-based privacy program implementation
NIST-AI600-GOV-1Legal and Regulatory Compliance2 targets
27557-3Terms and definitions
27557-4.3Individual impact consideration

Manage(6 mappings)

AIRMF-MAN-01AI Risk Treatment5 targets
27557-1Scope
27557-3Terms and definitions
27557-6.4Privacy risk treatment
27557-6.6Recording and reporting
27557-7.3Risk-based privacy program implementation
NIST-AI600-MGT-1Content Provenance Implementation
23837-1.2Normative references

Map(5 mappings)

AIRMF-MAP-02AI Risk Identification2 targets
27557-4.3Individual impact consideration
27557-6.3Privacy risk assessment
AIRMF-MAP-03AI Impact Assessment2 targets
27557-4.3Individual impact consideration
27557-6.3Privacy risk assessment
NIST-AI600-MAP-1GAI Risk Identification
27557-3Terms and definitions

+11 more mappings

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Related Comparisons

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What are the key differences between NIST AI 600-1 Generative AI Profile and ISO/IEC 27557:2022 — Organisational Privacy Risk Management?

NIST AI 600-1 Generative AI Profile has 43 controls across its framework, while ISO/IEC 27557:2022 — Organisational Privacy Risk Management covers 22 controls. Direct mapping analysis identifies 11 overlapping controls (26% 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 27557:2022 — Organisational Privacy Risk Management equivalent.

How many controls map between NIST AI 600-1 Generative AI Profile and ISO/IEC 27557:2022 — Organisational Privacy Risk Management?

Of 43 total NIST AI 600-1 Generative AI Profile controls, 11 map directly to ISO/IEC 27557:2022 — Organisational Privacy Risk Management controls — representing 26% coverage. The remaining 32 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 27557:2022 — Organisational Privacy Risk Management?

32 NIST AI 600-1 Generative AI Profile controls have no direct equivalent in ISO/IEC 27557:2022 — Organisational Privacy Risk Management. 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 27557:2022 — Organisational Privacy Risk Management?

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.

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