Cross-Framework Mapping

Japan AI GuidelinesvsISO/SAE 21434

See exactly how Japan AI Guidelines controls map to ISO/SAE 21434. Pre-computed mappings, identified gaps, and coverage analysis.

1
Controls Mapped
12
Gaps Found
8%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

Japan AI Guidelines maps to ISO/SAE 21434 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 | 700 frameworks | 323K+ cross-framework mappings

Control Mappings

Showing 1 of 1 mapped controls across 1 domains. Sign up to explore all 323K+ mappings across 700 frameworks.

JP AI Risk-Based Categorisation(1 mappings)

JP-AIG-Risk-Based-AI-System-Categorisation-Tiered-Approach-EU-AI-Act-Aligned-Generative-Foundation-ModelsJapan AI Guidelines Risk-Based AI System Categorisation + Tiered Approach + EU AI Act Aligned + Generative AI + Foundation Models + High-Risk + Limited-Risk + Minimal-Risk + AISI Capability-Based Thresholds
ISO21434-08Information classification and labeling

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What are the key differences between Japan AI Guidelines and ISO/SAE 21434?

Japan AI Guidelines has 13 controls across its framework, while ISO/SAE 21434 covers 50 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/SAE 21434 equivalent.

How many controls map between Japan AI Guidelines and ISO/SAE 21434?

Of 13 total Japan AI Guidelines controls, 1 map directly to ISO/SAE 21434 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/SAE 21434?

12 Japan AI Guidelines controls have no direct equivalent in ISO/SAE 21434. 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/SAE 21434?

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.