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AI for CISOs All-in-One: The Executive Handbook for AI Security Strategy, Governance, Risk, Architecture, Regulation, Investment, Cyber Resilience and Board-Level Leadership - Softcover

London, Kai

 
9798182825443: AI for CISOs All-in-One: The Executive Handbook for AI Security Strategy, Governance, Risk, Architecture, Regulation, Investment, Cyber Resilience and Board-Level Leadership

Synopsis

NIS2 and DORA place AI and cyber accountability on named directors, and SEC rules put disclosure on a four-day clock. The AI decisions taken this quarter will be read back in that light. AI for CISOs All-in-One is the executive handbook for the decisions a security leader must make about artificial intelligence, and how to defend them.

Written for CISOs, CIOs, CTOs, risk-committee chairs and executives accountable for AI in a regulated business, the book delivers one decision framework per chapter: where AI risk sits in appetite, what to build versus buy, how to size and defend AI security investment, vendor and model due diligence, regulatory exposure across jurisdictions, talent strategy, and how to brief a board that is already being sold to.

DECIDE. A decision framework per chapter, with the trade-offs, options and language an executive can take into a board meeting.

INVEST. Sizing, sequencing and defending AI security spend against risk appetite, regulatory exposure and business return.

LEAD. Operating model, talent, vendor governance and communication that keep leadership credible through an AI incident.

Every chapter is anchored on NIST AI RMF, ISO/IEC 42001, the EU AI Act, NIS2, DORA and the UK Cyber Governance Code of Practice, with matrices, tables and board-ready language throughout. Inside this volume: 38 chapters in 11 parts, 6 appendices, 76 figures, 109 tables, 209 primary sources and a 324-term index.

Key topics include: AI security strategy, AI risk appetite, AI governance and accountability, build-versus-buy decisions, AI security investment and budgeting, vendor and model due diligence, AI regulation and compliance, AI incident leadership, talent and operating models, board reporting and cyber resilience.

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About the Author

Professor Kai London is a cybersecurity executive, security architect, author and professional researcher with extensive experience across cybersecurity, critical infrastructure, resilience, governance, risk and technology. His work focuses on complex operational, security and institutional challenges, including cyber resilience, infrastructure protection, evidence, governance, recovery and reconstruction. He writes practitioner-focused professional reference works designed for executives, specialists, researchers and institutional readers.

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