AI Security & Governance: Main Manual by Kai London
The reference volume of the four-part programme. One coherent method for securing AI systems, governing their use, evidencing that the controls operate, and defending them against people who intend harm — written for the practitioner who has to make it work, not describe it.
Available on Amazon.
What is inside
Secure
The control set for AI systems across the lifecycle — data, model, platform, application and operations.
Govern
Ownership, intake, approval and oversight, defined so decisions have names and dates attached.
Evidence
What good looks like in an audit file, and how to produce it as a by-product of operating rather than a project.
Defend
Threat modelling, testing and monitoring for AI under deliberate attack.
Regulation, reconciled
The EU AI Act, ISO/IEC 42001 and the NIST AI RMF mapped to one control set rather than three programmes.
The programme in sequence
Where to start, what to do first, and how the workbook, question bank and update methodology fit around this volume.
Who it is for: AI security and governance practitioners, CISOs and heads of AI, risk, compliance and internal audit teams, and consultants building client programmes.
Secure it. Govern it. Evidence it. Defend it. In that order, and all four.
About the author
Professor Kai London — CISSP, CISM.
An internationally recognised cybersecurity executive, board advisor and Founder & CEO of Quantum AI Systems Security LLC, writing at the convergence of AI, governance and operational resilience. Honorary Professor and Researcher at UCL.