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The AI Governance Stack: How IEEE 2863, EN 18286 and ISO/IEC 27090 Fit Together to Lead, Prove Compliance and Secure AI - Softcover
Synopsis
Can your organisation answer for the AI it builds, buys and sells?
AI governance, regulatory compliance and AI security are usually handled by three different teams, with three different vocabularies and three separate projects. The AI Governance Stack brings them together into one working programme.
Using a simple model, Lead, Prove, Protect, the book shows how three standards fit together: IEEE 2863 for organisational AI governance, EN 18286 for the quality management system the EU AI Act requires of high-risk AI providers, and ISO/IEC 27090 for securing AI systems against threats such as data poisoning, model theft and prompt injection.
What you will learn
- Lead: what a board or governing body is accountable for, how to assign ownership, how to resolve tensions between principles such as transparency and security, and how to run AI governance week to week.
- Prove: the EU AI Act in plain English, all thirteen aspects of Article 17’s quality management requirements, how to build a quality management system, and what a presumption of conformity does and does not give you.
- Protect: the AI-specific threats, the practices that defend against them, and how to keep AI systems secure across their whole lifecycle.
- Make it work: how the three layers share one inventory, one risk register, one incident process and one evidence file, plus a maturity scale, a minimum viable programme for smaller organisations, a supplier-claims checklist and a board toolkit.
Inside every chapter: composite case studies, practical activities, projects and ready-to-use templates, including an AI inventory, a threat register, an Article 17 self-check and a board paper.
Clear about what it knows: the book separates what public sources confirm from what needs the official standard, flags every legal and date-sensitive point to verify, and labels the author’s own methods and opinions. It does not reproduce or paraphrase the standards clause by clause.
Who it is for: board members, CXOs, compliance and risk leaders, CISOs, and AI and product teams in the EU, India, the US or anywhere AI is built, bought or sold.
"synopsis" may belong to another edition of this title.
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The AI Governance Stack : How IEEE 2863, EN 18286 and ISO/IEC 27090 Fit Together to Lead, Prove Compliance and Secure AI
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Taschenbuch. Condition: Neu. Neuware - Can your organisation answer for the AI it builds, buys and sells AI governance, regulatory compliance and AI security are usually handled by three different teams, with three different vocabularies and three separate projects. The AI Governance Stack brings them together into one working programme.Using a simple model, Lead, Prove, Protect, the book shows how three standards fit together: IEEE 2863 for organisational AI governance, EN 18286 for the quality management system the EU AI Act requires of high-risk AI providers, and ISO/IEC 27090 for securing AI systems against threats such as data poisoning, model theft and prompt injection.What you will learn- Lead: what a board or governing body is accountable for, how to assign ownership, how to resolve tensions between principles such as transparency and security, and how to run AI governance week to week.- Prove: the EU AI Act in plain English, all thirteen aspects of Article 17's quality management requirements, how to build a quality management system, and what a presumption of conformity does and does not give you.- Protect: the AI-specific threats, the practices that defend against them, and how to keep AI systems secure across their whole lifecycle.- Make it work: how the three layers share one inventory, one risk register, one incident process and one evidence file, plus a maturity scale, a minimum viable programme for smaller organisations, a supplier-claims checklist and a board toolkit.Inside every chapter: composite case studies, practical activities, projects and ready-to-use templates, including an AI inventory, a threat register, an Article 17 self-check and a board paper.Clear about what it knows: the book separates what public sources confirm from what needs the official standard, flags every legal and date-sensitive point to verify, and labels the author's own methods and opinions. It does not reproduce or paraphrase the standards clause by clause.Who it is for: board members, CXOs, compliance and risk leaders, CISOs, and AI and product teams in the EU, India, the US or anywhere AI is built, bought or sold. Seller Inventory # 9798164076863
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