Cross-Framework Mapping

Japan AI GuidelinesvsISO/IEC 27400:2022

See exactly how Japan AI Guidelines controls map to ISO/IEC 27400:2022. Pre-computed mappings, identified gaps, and coverage analysis.

5
Controls Mapped
8
Gaps Found
8%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

Japan AI Guidelines maps to ISO/IEC 27400:2022 with 8% coverage across 1 directly mapped controls. Analysis of 13 Japan AI Guidelines controls identifies 12 compliance gaps — primarily concentrated in JP AI Third-Party + Supply Chain.

Source: TheArtOfService Knowledge Graph | 13 controls analysed | 706 frameworks | 324K+ cross-framework mappings

Control Mappings

Showing 5 of 5 mapped controls across 1 domains. Sign up to explore all 324K+ mappings across 706 frameworks.

JP AI Data Governance(5 mappings)

JP-AIG-Data-Governance-Training-Data-Quality-Provenance-Lineage-Copyright-APPI-Personal-Information-ProtectionJapan AI Guidelines Data Governance + Training Data Quality + Provenance + Lineage + Copyright Act 2018 Article 30-4 Text Data Mining Exception + APPI 2022 Amendment + Personal Information Protection + Privacy Principle5 targets
27400-5.4Data and privacy risks
27400-7.1Network Security for IoT
27400-7.1Network Security for IoT
27400-7.3Data minimization and purpose limitation
27400-7.4Data retention and deletion

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What are the key differences between Japan AI Guidelines and ISO/IEC 27400:2022?

Japan AI Guidelines has 13 controls across its framework, while ISO/IEC 27400:2022 covers 32 controls. Direct mapping analysis identifies 1 overlapping controls (8% coverage). The frameworks diverge most significantly in JP AI Third-Party + Supply Chain, where 1 Japan AI Guidelines controls have no direct ISO/IEC 27400:2022 equivalent.

How many controls map between Japan AI Guidelines and ISO/IEC 27400:2022?

Of 13 total Japan AI Guidelines controls, 1 map directly to ISO/IEC 27400:2022 controls — representing 8% coverage. The remaining 12 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.

What are the compliance gaps when mapping Japan AI Guidelines to ISO/IEC 27400:2022?

12 Japan AI Guidelines controls have no direct equivalent in ISO/IEC 27400:2022. The highest concentration of gaps is in JP AI Third-Party + Supply Chain with 1 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 Japan AI Guidelines and ISO/IEC 27400:2022?

The domain with the highest gap count is JP AI Third-Party + Supply Chain (1 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.