Leverage AI for adaptive cyber defense against evolving threats

Artificial intelligence simultaneously strengthens cyber defenses and introduces new attack vectors such as adversarial exploits and AI-driven malware. AI-Driven Security: Navigating Threats and Defenses in a New Era, written by two cybersecurity researchers specializing in digital authentication and information assurance, examines this dual role by integrating machine learning, deep learning, and generative AI across networks, endpoints, IoT, and autonomous systems.

AI-Driven Security covers real-time network traffic analysis and anomaly detection, insider threat identification through pattern analysis, and AI-assisted incident response that reduces delays. The book examines adversarial attacks on AI systems and strategies for building resilient defenses. It also addresses ethical dimensions including privacy, bias and fairness, and accountability alongside regulatory and societal considerations.

Readers will also find:

• Real-world case studies illustrating how AI accelerates detection and mitigation during cyber incidents across diverse operational environments
• Coverage of emerging technologies including 6G networks, quantum computing challenges, and blockchain integration with privacy-enhancing security frameworks
• Strategies for defending against adversarial attacks targeting AI models and securing machine learning pipelines from exploitation
• Analysis of ethical issues in AI-driven security spanning bias, fairness, transparency, and accountability in automated decision-making
• Forward-looking perspectives on generative AI, reinforcement learning, and their roles in proactive threat prediction and response

Designed for cybersecurity professionals, AI researchers, and policymakers, this book connects threat detection automation with broader defense frameworks and ethical governance. Students and academics in AI and cybersecurity programs will also find structured, research-grounded coverage of both offensive and defensive AI applications.

Ali Abdullah S. AlQahtani, PhD, is an Assistant Professor of Software Engineering (Cybersecurity Track) and Founding Director of the Defense Research Lab at Prince Sultan University. He previously served as an Assistant Professor and Founding Director of CyberNex at North Carolina A&T State University, where he taught and supervised graduate and doctoral students. He also held faculty roles in Computer Science and Cybersecurity at the University of Wisconsin. His research advances cybersecurity with innovative zero-effort digital authentication, threat identification, and security analysis. He further explores IoT, AI, and ML applications. To date, he has secured $6,755,833.33 in funded grants as a Principal Investigator.

Muhammad Khurram Khan, PhD, is a global thought leader and influencer in cybersecurity. He is a Professor of Cybersecurity at the Center of Excellence in Information Assurance, King Saud University, Saudi Arabia. He is the founder and CEO of the ”Global Foundation for Cyber Studies and Research”, an independent and non-partisan cybersecurity think-tank in Washington, D.C., USA. He is the Editor-in-Chief of ‘Telecommunication Systems', published by Springer-Nature. He has published over 500 research papers and is an inventor of 12 US patents. His research areas of interest are cybersecurity, AI Security, IoT security, vehicular cybersecurity, digital authentication, and cyber policy.

Mohamed Hammad, PhD, is an Associate Professor at Menoufia University, Egypt, and a Researcher at Prince Sultan University, Saudi Arabia. He earned his Ph.D. in Computer Science from Harbin Institute of Technology, China. His research focuses on pattern recognition, AI, machine learning, and cybersecurity. Dr. Hammad has published over 50 SCI-indexed papers, edited five books, and serves on editorial boards for journals such as BMC Bioinformatics. He is a top 2% cited scientist (Stanford University, 2022-2025) and an ACM Professional Member.