AI-Driven Autonomous Cyber Defence System: A Review Study

Digital systems today are strongly dependent on network connectivity, which also increases the risk of cyber attacks. Security teams often struggle to monitor large amounts of network data and respond quickly to suspicious activities. Intelligent technologies from Artificial Intelligence can help overcome this challenge by enabling systems to analyze behavior patterns automatically. An autonomous cyber defence system can observe network traffic, identify unusual actions, and react without waiting for human instructions. Learning techniques from Machine Learning allow the system to improve its detection ability over time by studying previous incidents. When abnormal behavior is discovered, the defence mechanism can limit access, block harmful communication, or isolate affected parts of the network. Such an approach supports faster reaction to threats and strengthens overall protection of digital infrastructure. The concept demonstrates how intelligent automation can assist organizations in handling modern cybersecurity risks more effectively.