I built this course because reading a chapter is one thing, actually applying it is another. Five modules, one per Part of the book. Work through them when it suits you. There's a short knowledge check after each one, and a certificate when you finish all five. Free to register. Module 1 starts immediately.
What you'll actually be able to do
Who this is for
Chapters 1-5. Seven ways AI systems get attacked, and why your existing patch process won't save you. Plus the privacy and ethics questions you need to answer before you build anything.
1. Chapter 1 names seven primary AI attack vectors, including Prompt Injection, Data Poisoning, and Model Stealing. Which of these is also one of the seven?
2. What term does Chapter 2 use for employees pasting sensitive data into public AI tools with no oversight?
3. Which chapter title below belongs to Part One, alongside the attack surface and vulnerability management chapters?
Chapters 6-10. What ISO 42001 actually says, not just the clauses, but what you need to do. A six-phase roadmap, how it sits alongside ISO 27001, and why the EU, US, UK, and China are all doing this differently.
1. Of the three ISO/IEC 42000-family standards covered in Chapter 6, which one is the certifiable AI management system standard?
2. According to Chapter 9, how does the US approach to AI regulation differ from the EU AI Act?
3. How many controls does ISO 42001 Annex A contain, per Appendix A?
Chapters 11-15. The technical playbook: configuring a SOC to monitor AI systems, hunting for threats automated rules miss, running AI red team exercises, and building security into the AI development lifecycle from day one.
1. In AI red teaming, what does a "black box" engagement mean, per Chapter 14?
2. Per Chapter 11, what does a SOAR platform add on top of a SIEM?
3. Chapter 15 says functional testing alone is not sufficient before production deployment. What else does it call for?
Chapters 16-20. How to brief executives on AI risk in language they can act on, build a dashboard that tells the truth, win budget for governance work, and define the roles and culture that make it stick.
1. Chapter 16 recommends preparing three things before escalating an AI security risk to executives. Which of these is one of them?
2. Per Chapter 17, every metric on a well-designed AI risk dashboard should answer one of three questions. Which of these is one of them?
3. Chapter 18 frames AI security investment primarily as what kind of argument?
Chapters 21-23, plus a bonus chapter 24. Where the threat landscape is heading, including agentic AI, multimodal attacks, and AI in national security and critical infrastructure, plus a bonus chapter on securing AI agents that can act, not just answer.
1. Per Chapter 21, why are prompt injection attacks against agentic AI considered more dangerous than against a standard chatbot?
2. The bonus Chapter 24 recommends which control for high-risk, irreversible agent actions like sending external communications or executing financial transactions?
3. What does Chapter 23 say is the real value of a mature management system like ISO 42001?
Pass the knowledge check for all 5 modules to unlock your certificate.