Cross-Framework Mapping

Japan AI GuidelinesvsIEC 62443

See exactly how Japan AI Guidelines controls map to IEC 62443. Pre-computed mappings, identified gaps, and coverage analysis.

6
Controls Mapped
7
Gaps Found
38%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

Japan AI Guidelines maps to IEC 62443 with 38% coverage across 5 directly mapped controls. Analysis of 13 Japan AI Guidelines controls identifies 8 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 6 of 6 mapped controls across 5 domains. Sign up to explore all 324K+ mappings across 706 frameworks.

JP AI Continuous Monitoring + Lifecycle(1 mappings)

JP-AIG-Continuous-Monitoring-Lifecycle-Model-Evaluation-Performance-Drift-Post-DeploymentJapan AI Guidelines Continuous Monitoring + AI System Lifecycle Management + Model Evaluation + Performance Drift + Concept Drift + Post-Deployment + Retraining Triggers + Safe Update + Decommissioning + Model Card Versioning
IEC62443-21Supply chain risk management for critical components

JP AI Fairness + Bias(1 mappings)

JP-AIG-Fairness-Bias-Detection-Mitigation-Inclusive-AI-Discrimination-Prevention-10-Principles-2019-HeritageJapan AI Guidelines Fairness + Bias Detection + Mitigation + Inclusive AI + Discrimination Prevention + 10 Principles 2019 Heritage + Protected Attributes + Disparate Impact + Statistical Parity + Counterfactual Fairness
IEC62443-21Supply chain risk management for critical components

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
IEC62443-02System security categorization

JP AI Safety + AISI(1 mappings)

JP-AIG-Safety-Validation-Testing-Robustness-AISI-AI-Safety-Institute-Pre-Deployment-Evaluation-Red-TeamingJapan AI Guidelines Safety + Validation + Testing + Robustness + AISI AI Safety Institute (14 Feb 2024) + Pre-Deployment Evaluation + Red Teaming + Capability Evaluations + AI Incident Database + Safe Deployment + AI Safety Reports
IEC62443-21Supply chain risk management for critical components

JP AI Scope + Society 5.0 + Strategy(2 mappings)

JP-AIG-Scope-METI-MIC-AI-Guidelines-Business-v1.0-April2024-Society-5.0-Cabinet-Office-AI-Strategy-CouncilJapan AI Guidelines Scope + METI/MIC AI Guidelines for Business v1.0 (April 2024) + Society 5.0 + Cabinet Office AI Strategy Council + 10 Principles 2019 Heritage + Education + Literacy + Fair Competition + Innovation Principles2 targets
IEC62443-07Personnel risk assessment
IEC62443-24Vulnerability assessment for critical systems

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What are the key differences between Japan AI Guidelines and IEC 62443?

Japan AI Guidelines has 13 controls across its framework, while IEC 62443 covers 81 controls. Direct mapping analysis identifies 5 overlapping controls (38% coverage). The frameworks diverge most significantly in JP AI Third-Party + Supply Chain, where 1 Japan AI Guidelines controls have no direct IEC 62443 equivalent.

How many controls map between Japan AI Guidelines and IEC 62443?

Of 13 total Japan AI Guidelines controls, 5 map directly to IEC 62443 controls — representing 38% coverage. The remaining 8 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 IEC 62443?

8 Japan AI Guidelines controls have no direct equivalent in IEC 62443. 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 IEC 62443?

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.