How can AI improve the detection of lateral threat movements in OT systems?

AI can improve the detection of lateral threat movements within Operational Technology (OT) systems by analyzing vast amounts of data in real time and identifying patterns that traditional security tools may miss. Machine learning algorithms can detect anomalies and suspicious activities by monitoring network traffic, system logs, and user behavior. AI-powered solutions can also create behavioral profiles to understand normal system activities and quickly flag any deviations that may indicate a security threat. By continuously learning and adapting to the evolving threat landscape, AI can enhance the ability to detect and respond to lateral movements by attackers, thus limiting their progression within OT systems.