The Developer’s Playbook for Large Language Model Security – review

This book fits perfectly into the field of AI Security, which I work with on a daily basis. That’s why I had my eye on it for quite some time. I had heard mostly positive opinions about it. In my view, there still aren’t many titles on the market that cover this topic in a structured, example-based, and in-depth way. The subject is the book named The Developer’s Playbook for Large Language Model Security – review is just below.

For a long time, I had been planning to order the original version. But when I noticed that a Polish edition had been released, I decided to give it a shot and see if the positive reviews held true.

So, what is the book about? The Developer’s Playbook for Large Language Model Security is an ambitious attempt to systematize the risks, threats, and protection techniques for systems based on large language models (LLMs). The author takes on a tough challenge — describing a fast-evolving and still relatively new domain — in a methodical way, rich with examples and practical references.

One of the book’s strongest aspects is the abundance of vivid examples that help explain attack mechanisms and possible countermeasures. The style is reminiscent of Adam Shostack’s iconic book on threat modeling — both authors dissect their topic thoroughly, illustrating each threat class with specific, concrete cases. This is definitely a major strength of the book.

The book doesn’t try to be “cool” — but it’s solid. It reads more like a well-crafted textbook than a popular science title. However, thanks to its clear and practical examples, it doesn’t feel tedious. Reading it feels like reviewing a teammate’s notes — the kind who sketches the entire threat landscape on a whiteboard, then adds two real-world examples and a counterexample so you fully understand where something doesn’t apply.

I rate the book very positively. The subsequent chapters turned out to be highly educational and inspiring. I found myself jotting down new techniques every few pages — ideas I could immediately apply in my daily work.

Is this book for everyone?

No. And that’s a good thing. It’s a book for people who know that “prompt injection” is just the beginning of the problem list, not the end. It’s for those who want to learn to think about LLM systems as real, complex applications with vulnerabilities, attacks, and deployment context.

Would I recommend it?

Absolutely.

This book does an excellent job of organizing the current knowledge on AI security, particularly when it comes to integrating LLMs with broader IT systems.

The book The Developer’s Playbook for Large Language Model Security – review is very positive. I wish we have more books like this in AI Security area.