Cross-Framework Mapping

NIST AI Risk Management Framework (AI RMF 1.0)vsJapan AI Guidelines

See exactly how NIST AI Risk Management Framework (AI RMF 1.0) controls map to Japan AI Guidelines. Pre-computed mappings, identified gaps, and coverage analysis.

23
Controls Mapped
29
Gaps Found
21%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

NIST AI Risk Management Framework (AI RMF 1.0) maps to Japan AI Guidelines with 21% coverage across 11 directly mapped controls. Analysis of 52 NIST AI Risk Management Framework (AI RMF 1.0) controls identifies 41 compliance gaps — primarily concentrated in Measure.

Source: TheArtOfService Knowledge Graph | 52 controls analysed | 716 frameworks | 430K+ cross-framework mappings

Control Mappings

Showing 20 of 23 mapped controls across 4 domains. Sign up to explore all 430K+ mappings across 716 frameworks.

Govern(11 mappings)

AIRMF-GOV-01AI Risk Management Policies6 targets
JP-AI-03Bias detection and mitigation
JP-AI-04AI model validation and testing
JP-AI-05Ongoing AI risk monitoring
JP-AI-06AI system documentation requirements
JP-AI-07Algorithmic transparency measures
JP-AI-10Record-keeping for AI decisions
AIRMF-GOV-02AI Risk Culture3 targets
JP-AI-06AI system documentation requirements
JP-AI-07Algorithmic transparency measures
JP-AI-10Record-keeping for AI decisions
NIST-AI600-GOV-1Legal and Regulatory Compliance2 targets
JP-AI-14Privacy protection in AI training data
JP-AI-19Regulatory compliance for AI

Manage(4 mappings)

AIRMF-MAN-01AI Risk Treatment3 targets
JP-AI-03Bias detection and mitigation
JP-AI-04AI model validation and testing
JP-AI-05Ongoing AI risk monitoring
NIST-AI600-MGT-5Decommissioning Procedures
JP-AI-15Data retention for AI models

Map(4 mappings)

AIRMF-MAP-02AI Risk Identification
JP-AI-01AI risk identification and assessment
AIRMF-MAP-03AI Impact Assessment
JP-AI-01AI risk identification and assessment
NIST-AI600-MAP-1GAI Risk Identification
JP-AI-14Privacy protection in AI training data
NIST-AI600-MAP-2Stakeholder Impact Assessment
JP-AI-01AI risk identification and assessment

Measure(1 mappings)

AIRMF-MEA-03AI Transparency and Explainability
JP-AI-06AI system documentation requirements

+3 more mappings

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What are the key differences between NIST AI Risk Management Framework (AI RMF 1.0) and Japan AI Guidelines?

NIST AI Risk Management Framework (AI RMF 1.0) has 52 controls across its framework, while Japan AI Guidelines covers 43 controls. Direct mapping analysis identifies 11 overlapping controls (21% coverage). The frameworks diverge most significantly in Measure, where 12 NIST AI Risk Management Framework (AI RMF 1.0) controls have no direct Japan AI Guidelines equivalent.

How many controls map between NIST AI Risk Management Framework (AI RMF 1.0) and Japan AI Guidelines?

Of 52 total NIST AI Risk Management Framework (AI RMF 1.0) controls, 11 map directly to Japan AI Guidelines controls — representing 21% coverage. The remaining 41 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 Japan AI Guidelines?

41 NIST AI Risk Management Framework (AI RMF 1.0) controls have no direct equivalent in Japan AI Guidelines. The highest concentration of gaps is in Measure with 12 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 Japan AI Guidelines?

The domain with the highest gap count is Measure (12 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.