Cross-Framework Mapping

NIST AI Risk Management Framework (AI RMF 1.0)vsISO/IEC 27557:2022 - Organisational Privacy Risk Management

See exactly how NIST AI Risk Management Framework (AI RMF 1.0) controls map to ISO/IEC 27557:2022 - Organisational Privacy Risk Management. Pre-computed mappings, identified gaps, and coverage analysis.

29
Controls Mapped
23
Gaps Found
19%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

NIST AI Risk Management Framework (AI RMF 1.0) maps to ISO/IEC 27557:2022 - Organisational Privacy Risk Management with 19% coverage across 10 directly mapped controls. Analysis of 52 NIST AI Risk Management Framework (AI RMF 1.0) controls identifies 42 compliance gaps — primarily concentrated in AI RMF Functions.

Source: TheArtOfService Knowledge Graph | 52 controls analysed | 718 frameworks | 332K+ cross-framework mappings

Control Mappings

Showing 20 of 29 mapped controls across 1 domains. Sign up to explore all 332K+ mappings across 718 frameworks.

AI RMF Functions(20 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
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
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
AIRMF-MEA-01AI Performance Metrics4 targets
23837-1.1Scope
27557-1Scope
27557-3Terms and definitions
27557-6.2Scope, context, and criteria for privacy

+9 more mappings

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Related Comparisons

Other NIST AI Risk Management Framework (AI RMF 1.0) comparisons

Other ISO/IEC 27557:2022 - Organisational Privacy Risk Management comparisons

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What are the key differences between NIST AI Risk Management Framework (AI RMF 1.0) and ISO/IEC 27557:2022 - Organisational Privacy Risk Management?

NIST AI Risk Management Framework (AI RMF 1.0) has 52 controls across its framework, while ISO/IEC 27557:2022 - Organisational Privacy Risk Management covers 41 controls. Direct mapping analysis identifies 10 overlapping controls (19% coverage). The frameworks diverge most significantly in AI RMF Functions, where 21 NIST AI Risk Management Framework (AI RMF 1.0) controls have no direct ISO/IEC 27557:2022 - Organisational Privacy Risk Management equivalent.

How many controls map between NIST AI Risk Management Framework (AI RMF 1.0) and ISO/IEC 27557:2022 - Organisational Privacy Risk Management?

Of 52 total NIST AI Risk Management Framework (AI RMF 1.0) controls, 10 map directly to ISO/IEC 27557:2022 - Organisational Privacy Risk Management controls — representing 19% coverage. The remaining 42 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 ISO/IEC 27557:2022 - Organisational Privacy Risk Management?

42 NIST AI Risk Management Framework (AI RMF 1.0) controls have no direct equivalent in ISO/IEC 27557:2022 - Organisational Privacy Risk Management. The highest concentration of gaps is in AI RMF Functions with 21 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 ISO/IEC 27557:2022 - Organisational Privacy Risk Management?

The domain with the highest gap count is AI RMF Functions (21 gaps). Export the full domain-by-domain gap breakdown via the Professional tier to generate a prioritised remediation roadmap.

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