Autonomous, predictive, and self-healing cybersecurity systems powered by AI Traditional cybersecurity approaches can no longer keep pace with zero-day exploits, ransomware, insider threats, and adversarial AI attacks. Cybersecurity 5.0: AI-Driven Strategies for Proactive Threat Defense introduces a transformative paradigm that leverages artificial intelligence, machine learning, and big data to build autonomous, predictive, and self-healing security systems. The book presents a unified Cybersecurity 5.0 framework that integrates AI-driven analytics, blockchain technologies, and quantum-resistant cryptography within the context of Industry 5.0 and rapidly expanding IoT ecosystems. It demonstrates how intelligent systems can anticipate, detect, and mitigate threats across enterprise, government, and academic environments. The book also covers: Ethical, sustainable, and socially responsible approaches to deploying cybersecurity technologies within organizations and broader society Practical strategies for constructing resilient, self-healing systems that autonomously detect and neutralize threats before damage occurs AI and machine learning techniques applied to predicting zero-day exploits, ransomware campaigns, and adversarial AI-driven attacks Cybersecurity 5.0 serves practitioners, researchers, IT managers, and graduate students who need to move beyond conventional defense measures. By connecting AI, blockchain, IoT security, and quantum-resistant strategies within a unified Cybersecurity 5.0 paradigm, this book equips readers to architect proactive, adaptive cyber defense systems.