AI-Driven Cybersecurity: Revolutionizing Threat Detection and Defence Systems [Hardcover]

Designed for professionals, researchers, and decision-makers, this book emphasizes that understanding and leveraging AI in cybersecurity is not just advantageousit is essential for building robust, future-proof defenses in a world where digital security is paramount

1. Artificial Intelligence in Cybersecurity: Fundamentals, Challenges, and Opportunities 2. Artificial Intelligence Applications in Cybersecurity 3. Large Language Models (LLMs) for Cybersecurity 4. Machine Learning in Identifying Cyber Threats: A Research Overview 5. Advanced Data Analytics for Proactive Security 6. Malware Unmasked: AI-Driven Forensics for Threat Detection and Response 7. Leveraging AI/ML in Identity and Access Management (IAM) for Enterprise Security 8. Smart Cyber Defence: Leveraging AI for Real-Time Threat Detection and Mitigation 9. Leveraging AI in Cyber Defence: Transforming Modern Cybersecurity 10. AI Meets IDPS: A New Era in Cybersecurity 11. Real-Time Detection: Machine Learning Against Evolving Cyber Threats 12. Artificial Intelligence Powered Cyberattacks 13. Automating Cyber Threat Detection with AI and Machine Learning 14. Securing SD-WAN with Edge and Fog Computing: AI-Driven Optimization and Challenges

Hooman Razavi is currently an associate research assistant in the Department of Engineering Science at Tecnol?gico de Monterrey, Mexico, and the University of Ottawa. He holds a B.Sc. in Computer Engineering, an M.Sc. in Artificial Intelligence, and a Ph.D. in Engineering Science. Dr. Razavi has served as a sessional lecturer at University Canada West (20172022) and as a lecturer for the United Nations (UNITAR) IoMT course. He has published widely in conferences, book chapters, and