<p style="text-align:justify">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.</p> <p style="text-align:justify">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.</p>