AI SECURITY

This book is my humble contribution to empowering B.Tech and M.Tech students, as well as industry professionals, with the knowledge and skills necessary to navigate the complex challenges of the AI-driven future. My goal is to equip you not just to use AI, but to secure it, to build with it, and to lead with it, responsibly and effectively. I welcome you on this essential learning journey.



Key Features of This Book:


1. Global Curriculum Compatibility: By focusing on fundamental principles and globally recognized frameworks (like NIST AI RMF) and regulations (like GDPR), the book is a valuable resource for students worldwide.
2. Comprehensive 11-Chapter Structure: The book is logically organized into ten chapters, covering everything from the basics of the AI threat landscape and adversarial attacks to advanced topics like data privacy, MLOps security, and the security of Generative AI.
3. Cutting-Edge and Updated Content: Includes the latest and most relevant topics, such as the security of Large Language Models (LLMs), prompt injection, federated learning, and AI red teaming, ensuring students are prepared for current and future challenges.
4. Focus on Ethics, Fairness, and Governance: A dedicated chapter on explainability (XAI), bias, and fairness, along with integrated discussions on governance, provides a holistic perspective, training students to be responsible technologists.
5. Lucid and Accessible Language: Complex topics are broken down into simple, digestible parts, making the book accessible to students at various levels of their academic journey.
6. Rich Learning Aids: Each chapter includes clear learning objectives, summaries of key takeaways, and a set of review questions and practical exercises to test understanding and encourage further exploration.


"AI Security" is a comprehensive and modern textbook meticulously crafted for undergraduate (B.Tech) and postgraduate (M.Tech) students of Computer Science, Information Technology, and Artificial Intelligence. In an era where AI is ubiquitous, understanding how to secure these intelligent systems is no longer a niche specialization but a fundamental engineering skill. This book serves as an essential guide, bridging the gap between theoretical AI concepts and the practical realities of cybersecurity in the AI domain.