EU AI Act Made Simple – Understanding, Implementing, and Governing Artificial Intelligence Under the New European Regulation

Artificial intelligence now shapes decisions that affect people’s lives, rights, and opportunities. With the EU AI Act, Europe has set clear expectations: AI must be accountable, governed, and human-centric. Yet for many organizations, the regulation feels complex and difficult to apply. EU AI Act Made Simple explains the regulation in a way that connects legal intent with real-world AI use.

This book translates the EU AI Act into practical understanding for executives, legal and compliance teams, developers, DevOps engineers, cybersecurity professionals, and auditors. It shows how AI governance fits with GDPR, NIS2, DORA, ISO 27001, and cybersecurity practices, replacing checkbox compliance with risk-based, defensible decision-making.

Written by a senior practitioner from regulated environments, EU AI Act Made Simple is for organizations that want clarity, not shortcuts. If you are responsible for AI systems, AI risk, or AI governance, this book will help you move from uncertainty to control – and from compliance to maturity.This book provides a practical guide to implementing end-to-end cryptographic governance aligned with DORA, NIS2 and ISO 27001. It explains how to automate renewals, enforce revocation, manage secrets and generate audit-ready evidence.

What Readers Say

“This book succeeds where most regulatory publications fail. It explains the EU AI Act without diluting its seriousness or overwhelming the reader with legal abstraction. I finished it with a clear mental model of the regulation and, more importantly, a sense of how to act on it inside a real organization.”
“What impressed me most is how the author translates legal intent into operational reality. The book does not treat compliance as paperwork, but as governance, design, and responsibility. It is rare to find a work that speaks equally well to executives, legal teams, and engineers.”
“After reading this book, the EU AI Act no longer felt like an external threat hanging over innovation. It felt like a framework that could be integrated into how we already think about risk, quality, and accountability. That shift alone makes this book invaluable.”
“This is not a simplified summary of the regulation. It is a structured explanation of why the regulation exists and how it fits into the broader landscape of AI, cybersecurity, and data protection. The depth is reassuring rather than intimidating.”
“What sets this book apart is its realism. It clearly understands how organizations actually function, including the friction between teams, the pressure to deliver, and the tendency to postpone governance. The guidance feels credible because it acknowledges these realities instead of ignoring them.”
“I appreciated that the book does not rely on checklists or superficial frameworks. Instead, it builds understanding progressively. By the time I reached the later chapters, earlier concepts had naturally fallen into place.”
“This book finally bridges the gap between AI theory and regulatory practice. It explains not only what the EU AI Act requires, but why certain obligations exist and how they relate to real-world harm and accountability.”
“Many books about regulation feel defensive or alarmist. This one feel calm, confident, and grounded. It encourages responsibility without fear and maturity without moralizing.”
“The sections on risk classification and lifecycle governance were particularly strong. They helped me understand why certain systems attract regulatory attention while others do not, something that is often misunderstood even by experienced professionals.”
“This book respects the reader. It does not oversimplify complex ideas, yet it never feels inaccessible. It assumes intelligence, curiosity, and professional responsibility.”
“What surprised me most was how much this book improved internal conversations. After reading it, discussions about AI governance became clearer, more constructive, and less polarized.”
“The integration between the EU AI Act and other regulations like GDPR, NIS2, and operational resilience frameworks is handled exceptionally well. It avoids duplication and shows how these regimes reinforce each other.”
“This is the kind of book you return to. Not because it contains templates, but because it contains reasoning. It helps you think.”
“I would recommend this book to anyone who is tired of superficial commentary on AI regulation. It takes the subject seriously and expects the reader to do the same.”
“Unlike many regulatory guides, this book does not age quickly. Its focus on principles, responsibility, and governance makes it relevant beyond the immediate implementation timeline of the EU AI Act.”