Critical Infrastructure Autonomous Defense
Ali Younis Al Maqousi, Kashinath Basu, Ahmad Al–Qerem, Amjad Yousef Aldweesh · Advances in computational intelligence and robotics book series · 2025
Critical infrastructure, including power grids, water systems, and industrial control networks, supports essential societal functions. As cyber threats intensify, AI-driven autonomous defense methods have emerged as pivotal solutions for ensuring robust security. This abstract outlines how machine learning, deep learning, and reinforcement learning-based approaches enable proactive threat detection, automated responses, and adaptive system configurations. By leveraging advanced analytics and rapid decision-making capabilities, AI frameworks can mitigate vulnerabilities, reduce downtime, and maintain service continuity. However, successful deployment requires addressing scalability, trust, and regulatory concerns. This chapter provides comprehensive insights into implementing reliable, resilient AI defenses for effectively safeguarding critical infrastructure worldwide.