Toufik Mzili, Zahra Oughannou, Nebojsa Bacanin, Mohamed Hanine, Widi Aribowo
AI-driven cybersecurity for autonomous systems protects intelligent, automated technologies from cyber threats, such as autonomous vehicles, drones, and industrial robots. As these systems become integrated into infrastructure, their reliance on real-time data processing, machine learning, and network connectivity makes them vulnerable to attacks. AI-driven cybersecurity offers proactive defense mechanisms by using algorithms that can detect anomalies, predict threats, and respond to intrusions faster than traditional methods. This approach enhances the resilience and safety of autonomous systems while ensuring their reliability in high-stakes environments. AI-Driven Cybersecurity for Autonomous Systems explores the intersection of cybersecurity, AI, and robotics, addressing technological advancements, ethical dilemmas, and risk mitigation strategies. It examines theoretical frameworks, practical applications, and policy implications, with a focus on securing AI-driven robotic systems in critical sectors like healthcare, defense, and smart cities. This book covers topics such as risk mitigation, robotics, and threat detection, and is a useful resource for security professionals, computer engineers, academicians, researchers, and data scientists. © 2026 by IGI Global Scientific Publishing. All rights reserved.
Chouaib Doukkali University, Morocco; Ibn Zohr University, Morocco; Singidunum University, Serbia; Chouaib Doukkali University, Morocco; Surabaya State University, Indonesia
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