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
2
Gaps Found
32%
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 32% coverage across 10 directly mapped controls. Analysis of 31 NIST AI Risk Management Framework (AI RMF 1.0) controls identifies 21 compliance gaps — primarily concentrated in Govern.

Source: TheArtOfService Knowledge Graph | 31 controls analysed | 693 frameworks | 819K+ cross-framework mappings

Control Mappings

Showing 20 of 29 mapped controls across 4 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

+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 31 controls across its framework, while ISO/IEC 27557:2022 — Organisational Privacy Risk Management covers 22 controls. Direct mapping analysis identifies 10 overlapping controls (32% coverage). The frameworks diverge most significantly in Govern, where 7 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 31 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 32% coverage. The remaining 21 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?

21 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 Govern with 7 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 Govern (7 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.