AAISM Exam Prep by Kai London
This exam prep guide takes you through the knowledge AAISM expects, area by area, in clear language — with worked examples, exam tips and practice questions so you can check your progress as you go.
What the book covers
AI governance
Programmes, policies and accountability for AI in the enterprise.
AI risk management
Identifying, assessing and treating AI-specific risk.
AI security controls
Protecting models, data and AI-enabled systems.
Third-party AI
Managing risk in AI suppliers and embedded AI features.
Monitoring and assurance
Testing, metrics and evidence that AI controls work.
Practice and review
End-of-chapter questions with explanations, plus a final review checklist.
This is an independent study aid. It is not affiliated with, sponsored or endorsed by ISACA; exam names are trademarks of their owners. Always check the current official exam outline.
Who it is for
Security managers and CISM holders preparing for AAISM, and leaders responsible for AI security programmes.
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.