Artificial Intelligence Models and Strategies for Cybersecurity presents a comprehensive exploration of the rapidly evolving intersection between artificial intelligence and modern cyber defense systems. The book examines how AI, machine learning, deep learning, federated learning, and quantum technologies are transforming threat detection, intrusion prevention, anomaly analysis, and autonomous cyber defense. It covers critical topics such as adversarial machine learning, explainable AI, zero trust architecture, cybersecurity governance, digital privacy, threat intelligence, AI-driven SOC operations, and post-quantum cryptography.

Special emphasis is placed on emerging technologies including generative AI, blockchain security, edge intelligence, robotic defense systems, precision cybersecurity, and smart automated response mechanisms. The book also discusses ethical deployment, regulatory compliance, global governance, digital sovereignty, and challenges associated with cyber warfare and offensive AI systems. Designed for students, researchers, cybersecurity professionals, data scientists, policymakers, and industry practitioners, this book serves as a valuable academic and practical resource for understanding intelligent cybersecurity frameworks, resilient defense architectures, and future-ready AI-powered security strategies in the digital era.

Shugufta Fatima is working as Assistant Professor in the Department of Computer Science and Engineering at Stanley College of Engineering and Technology for Women, Hyderabad, India. She has over nine years of academic experience and holds both bachelor’s and master’s degrees in computer science and engineering from Osmania University, where she received multiple Academic Excellence Awards. Her research interests include Machine Learning, Deep Learning, Artificial Intelligence, and Image Processing, and she has published her work in reputable journals, conference proceedings, and edited volumes indexed in Scopus. She also holds a patent on her name. In addition to her research contributions, she serves as a speaker and book chapter reviewer for IGI Global and has actively organized workshops and conferences. She is currently co-editing seven books with Cambridge Scholars Publishing, Bentham Science, and NIPA Publishers

Dr. C. Kishor Kumar Reddy is a seasoned academician and researcher with over 13 years of experience in computer science and engineering. Currently serving at Stanley College of Engineering and Technology for Women, Hyderabad, he holds a Ph.D. in Computer Science and Engineering and a Postdoctoral Fellowship from Universiti Kebangsaan Malaysia, Malaysia. Dr. Reddy has made significant contributions in areas such as Artificial Intelligence, Machine Learning, Deep Learning, Federated Learning, Cybersecurity, Healthcare 6.0, and Disaster Management. He has authored and co-authored 250+ research articles in reputed SCI/Scopus-indexed journals, presented in international conferences, and contributed to numerous book chapters with leading publishers like Springer, CRC Press, Wiley-IEEE, IGI Global, and Cambridge Scholars Publishing. He also holds several published patents and serves as an editor for multiple scholarly books on emerging technologies. Dr. Reddy is an active member of professional bodies such as the IEEE, ACM, CSI, ISTE, among others.

Dr. P. R. Anisha is an Associate Professor in the Department of Computer Science & Engineering at Stanley College of Engineering and Technology for Women, Hyderabad, with over nine years of teaching and research experience. She holds a PhD from K L University and has published more than 50+ research papers in reputed international journals and conferences. Her research interests include Artificial Intelligence, Machine Learning, Image Processing, IoT, and data-driven healthcare. She has served as a Special Session Chair at various national and international conferences and is an active member of professional bodies such as ACM and IAENG. She has also co-authored books on C and C++ programming and is recognized as a motivational speaker, contributing significantly to academic and professional communities.

Dr. Amrutha Muralidharan Nair is a dedicated Assistant Professor at the Adi Shankara Institute of Engineering and Technology, Kalady, with over 11 years of academic experience in the Department of Artificial Intelligence and Data Science. She holds a Ph.D. in Computer Science and Engineering with a specialization in Cyber Security from Karpagam Academy of Higher Education, Coimbatore. Her core expertise lies in Cyber Security, Artificial Intelligence, and Image Processing, complemented by her work in Machine Learning, Generative AI. A prolific researcher with numerous publications and patents, she is deeply committed to mentoring students in research and innovation, continually striving to advance knowledge and drive progress in her areas of specialization.

Dr. Srinath Doss was born in India (1982) and currently resides in Botswana. He received his B.Tech. from the University of Madras in 2004, the M.Eng. degree Anna University in 2006, Ph.D. degree from St. Peter’s University in 2014, (PGDHE) Post Graduate Diploma in Higher Education from Botho University in 2017, Certified Information Systems Auditor from ISACA in 2020 and PGCCS(Post Graduate Certification in Cyber Security) from Indian Institute of Technology- Palakkad, 2023. Currently he is working as Professor and Dean, Faculty of Engineering and Technology, Botho University, Botswana. Previously, he was with various colleges in India, and with Garyounis University, Libya. He has authored 2 books, published80 research articles in refereed international journals and conferences. His research interests include MANET, information security, network security and cryptography, cloud computing, wireless and sensor network, and mobile computing. He serves as the editorial member, a reviewer for reputed international journals, and an advisory member for various prestigious conferences. He has been the session chair and an advisory member for various international conferences. Dr. Srinath is a member of IAENG and an Associate Member in UACEE.

Chapter 1. Foundations of Artificial Intelligence in Cybersecurity

Chapter 2. Adversarial Machine Learning and Robust AI Security

Chapter 3. AI-Driven Cyber Resilience and Security Frameworks

Chapter 4. Governance, Compliance and Ethical AI in Cybersecurity

Chapter 5. AI-Powered Security Operations and Autonomous Cyber Defense

Chapter 6. Cybercrime, Dark Web and Digital Privacy Challenges

Chapter 7. Federated Learning, Edge Intelligence and IoT Security

Chapter 8. Artificial Intelligence for Zero Trust Cybersecurity Architecture

Chapter 9. Generative Artificial Intelligence and Offensive Cyber Operations

Chapter 10. Quantum Computing and Post-Quantum Cybersecurity

Chapter 11. Artificial Intelligence Models in Precision Agriculture and Cybersecurity Applications

Chapter 12. AI Governance, Global Cybersecurity and Digital Sovereignty

Chapter 13. Federated Defense Architecture and Advanced Cyber Threat Intelligence