CompTIA SecAI+ Study Guide by Kai London
This study guide takes you through the knowledge CompTIA SecAI+ 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 fundamentals for security
Models, data pipelines and where security fits in the AI lifecycle.
Threats to AI systems
Prompt injection, data poisoning, model theft and abuse of AI agents.
Secure AI deployment
Controls for access, data protection, monitoring and supply chain.
Governance and compliance
Applying AI risk frameworks and regulatory requirements.
AI for defenders
Using AI responsibly in detection, triage and response.
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 CompTIA; exam names are trademarks of their owners. Always check the current official exam outline.
Who it is for
Candidates preparing for SecAI+, security professionals adding AI skills, and AI engineers taking on security responsibilities.
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.