Keywords
Artificial Intelligence in Cybersecurity, Machine Learning for Cybersecurity, Deep Learning Security, Adversarial Machine Learning, Cyber Threat Intelligence, Intrusion Detection Systems, Zero Trust Architecture, AI Security Models, Quantum Cybersecurity, Post Quantum Cryptography, Security Automation, Explainable AI, Federated Learning Security, AI Powered Cyber Defense, Cybersecurity Governance, Threat Detection Systems, Generative AI Security, Blockchain Security, Autonomous Cyber Defense, Intelligent Security SystemsArtificial Intelligence Models and Strategies for Cybersecurity
edited by: Shugufta Fatima, C. Kishor Kumar Reddy, P. R. Anisha, Amrutha Muralidharan Nair & Srinath DossLength: 229 mm | Breadth: 10 mm | Height: 152 mm | Imprint: NIPA | Weight: GMS
This book will be available from 15-Jul-2026
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.
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