AI and ML IN NETWORK SECURITY AI (Artificial Intelligence) and ML (Machine Learning) in network security refer to the integration of intelligent algorithms and statistical models to enhance the detection, analysis, and response mechanisms against cyber threats. These technologies enable systems to learn and adapt to evolving patterns, identifying anomalies in network behavior, detecting potential security risks, and automating responses to mitigate threats. By leveraging AI and ML, network security becomes more proactive, efficient, and capable of addressing the dynamic nature of modern cybersecurity challenges. AI in Network Security AI (Artificial Intelligence) in network security involves the use of intelligent algorithms and computational models to enhance the overall security posture of computer networks. AI applications in network security include: Threat Detection and Anomaly Recognition: AI algorithms can analyze network traffic patterns, identify anomalies,...