hewyler/ISO-42001-Standard-Mapping

title: Prof. Hernan Huwyler - AI GRC Framework tags: - AI Governance - ISO 42001 - Risk Management - GRC - Artificial Intelligence

Prof. Hernan Huwyler, MBA CPA

AI GRC Director & Professor Copenhagen Metropolitan Area

🚀 Driving Compliance, Risk & AI Governance for Multinationals

Cutting Incidents, 2x Faster Assessments, Boosting Risk ROI

• Current: Capgemini
• Academic: University of Cambridge

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🏛️ The Huwyler AI GRC Framework

I curate open-source datasets to bridge the gap between Legal/Compliance requirements and AI Engineering execution. My resources are designed to help organizations operationalize ISO/IEC 42001 and the EU AI Act.

📚 Standards Alignment

My datasets (available in my Collections) are rigorously mapped to the following International Standards Architecture. This ensures that your risk assessments are audit-ready.

1. Governance & Strategy Level

• ISO 38507:2022: Governance implications > effective, efficient and acceptable use of AI.
• ISO 22989:2022: AI concepts and terminology.
• ISO 23053:2022: AI Framework for Machine Learning > describe technology.
• ISO 24368:2022: AI Ethical and societal concerns > principles.
• ISO/IEC 24754: Standard model process for ethical concerns.

2. Process & Management Level (ISO 42001 Core)

• ISO 42001:2023: AI Management system > list of controls.
• ISO 42005:2025: AI system impact assessment (AIIA).
• ISO 42006:2025: Conformity assessments on AI controls (Audit requirements).
• ISO 23894:2023: Guidance on AI risk management > implementation to assess AI risks.
• ISO 5338:2006: AI Lifecycle > inception to disposal processes.
• ISO 5339:2024: Guidance for AI applications > stakeholder engagement.

3. Technical Quality, Data & Bias

• ISO 25059:2023: Quality model for AI systems.
• ISO 25058:2024: Quality evaluation for AI systems.
• ISO/IEC/IEEE 29119-11:2020: AI Testing.
• ISO 12791:2024: Treatment of unwanted bias in classification and regression tasks.
• ISO 12792:2025: Transparency taxonomy.
• ISO TS 4213:2022: Assessment of machine learning classification performance.
• ISO TR 24027:2021: Bias in AI systems and AI aided decision making.
• ISO 5259:2024: Data quality for analytics and machine learning (Parts 1-4).

4. Security & Support Level

• ISO 27090 (Draft): Guidance for addressing security threats and failures in AI systems.
• ISO 24970:206 (Draft): AI System logging.
• ISO 21434:2021: Cybersecurity in AI driving assistance.
• ISO 27036-1:2021: Cybersecurity supplier relationships.
• ISO 27001 / 27701: Information and privacy security.
• ISO 31000:2018: General risk management principles.

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🛠️ Available Datasets

You can download these datasets directly for your GRC tools, Risk Registers, or LLM Fine-tuning:

1. AI Risk Scenarios: 100+ scenarios mapped to ISO 42005.
2. AI Threat Vectors: Red-teaming library.
3. AI Loss Taxonomy: Financial impact definitions.
4. AI Quality Objectives: ISO 25059 NFRs.

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Connect with me for collaboration on AI Governance standards.

AI Governance, Risk & Compliance (GRC) - Complete Standards Framework

By Prof. Hernan Huwyler, MBA CPA | AI GRC Director (Capgemini) & Professor (University of Cambridge)

The world's most comprehensive AI GRC resource library—translating 20+ ISO standards (42001, 42005, 38507, 25059, 23894) and EU AI Act into actionable datasets, controls, and frameworks.

📊 4 Core Datasets: • AI Threat Vectors (45+ threats → MITRE ATLAS + OWASP LLM Top 10) • AI Loss Taxonomy ($10K-$500M+ financial quantification) • AI Quality Objectives (ISO 25059:2023 - 47 characteristics) • AI Risk Scenarios (100 risks + controls → ISO 42001/42005/COBIT)

🎯 Results: 2x faster risk assessments | Reduced incidents | Measurable ROI

📚 Full Documentation: [Link to your website/GitHub]

Standards Covered: ISO 38507, 22989, 23053, 24368, 5338, 23894, 42001, 5339, 42005, 42006, 24028, 25059, 25028, 29119-11, 12791, 4213, 24027, 12792, 24754, 5259, 27090, 21434, 31000, 27001, 27701, 27036, 24970 + EU AI Act

License: CC-BY-4.0 | Contact: [Your professional email/LinkedIn]