Artificial intelligence has stopped knocking politely on the door of cybersecurity-it has kicked it open, set up shop inside, and begun rewriting the rules. From generative phishing emails indistinguishable from trusted colleagues to adaptive malware that evolves faster than defenders can react, AI has made the threat landscape faster, smarter, and far less predictable.
This book is a practical guide to that unsettling reality. It doesn't trade in hype or hand-waving optimism. Instead, it lays out-in plain language-how AI systems create new risks, what happens when security practices built for deterministic software fail, and why human vigilance and organizational discipline are more important than ever.
Inside, you'll discover:
- How attackers are already using AI to automate reconnaissance, generate malicious code, and industrialize social engineering at a scale no human team could match.
- Why defending AI is a fundamentally different challenge, with attack surfaces embedded in training data, model weights, and seemingly innocuous prompts.
- How familiar safeguards-like static rules, perimeter defenses, and blacklists-fall apart when faced with systems that learn, infer, and sometimes hallucinate.
- What it takes to design secure, trustworthy AI systems: from threat modeling and auditing pipelines to deploying explainable models that don't sacrifice accountability for convenience.
Written for security leaders, engineers, policymakers, and technologists who recognize that the convergence of AI and cybersecurity isn't theoretical-it's already operational-this book offers a strategic roadmap for navigating a landscape where yesterday's defenses are no longer enough.
You'll explore real-world case studies: chatbots leaking confidential data with alarming politeness, AI-driven phishing campaigns that slip past even well-trained employees, and defensive models that fail silently because they can't explain their own reasoning. Along the way, you'll learn frameworks to separate the promising from the perilous, the actionable from the aspirational.
Artificial Intelligence Cybersecurity isn't a manual for fine-tuning models or a primer for beginners. It assumes you already sense that something is shifting-and provides the clarity, examples, and strategies to respond. If you're responsible for securing critical systems or shaping the policies that govern them, this book will help you ask better questions, make better decisions, and avoid the costly mistake of treating AI as just another line item in your technology stack.
Because in this new era, the question isn't whether AI will reshape your security strategy. The question is whether you'll be ready when it does.
