A CISO's Playbook for achieving ISO/IEC 42001 certification to secure the benefits of AI
Gain exclusive access to the official AISA CyberCon 2024 presentation. Learn about the integration of cybersecurity, GRC, and AI, and other best practices for AI governance to ensure success in the use or development of AI systems.
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What you’ll learn in this guide
A practical guide to building, governing, and certifying AI systems under ISO/IEC 42001, covering risk assessments, control design, technical architecture, and audit readiness for responsible AI adoption.
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ISO/IEC 42001 overview
Understand the core foundations of ISO/IEC 42001, including AI governance principles, risk-based oversight, and the key components of an effective AI Management System (AIMS).
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Responsible AI imperatives
Explore the business, regulatory, and governance drivers behind responsible AI, from customer and board expectations to emerging standards, laws, and compliance obligations.
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Risk and impact assessments
Learn how to assess AI-specific risks and evaluate system impact across security, privacy, legal, operational, and stakeholder domains to guide safer AI adoption.
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Building AI policies and controls
See how to build an AI control set aligned to ISO/IEC 42001, NIST AI RMF, and NIST CSF 2.0, covering governance, oversight, accountability, and continual improvement.
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Technical architecture for AI
Get a practical view of secure AI system design, including retrieval, generation, data flows, and architectural considerations for building resilient AI systems.
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Governance, audit & certification
Learn how to govern your AIMS, prepare for internal and external audits, and navigate the certification path from document review to formal ISO/IEC 42001 assessment.
