Application of Artificial Intelligence for Real-Time Intrusion and Anomaly Detection in Industrial Control Systems

The rapid digital transformation of industrial sectors, particularly in the energy domain, has introduced increased connectivity, automation, and data exchange, significantly expanding the attack surface of critical infrastructure. As Industrial Control Systems (ICS) become increasingly integrated with enterprise Information Technology (IT) environments, traditional security approaches struggle to address the complexity, dynamics, and safety constraints of