•    Automated Threat Detection and Response: How AI systems identify and neutralize sophisticated cyber attacks targeting industrial control systems before they can disrupt production or compromise safety
•    Behavioral Anomaly Detection: Leveraging machine learning to spot subtle deviations in network traffic, user behavior, and system operations that indicate potential cyber intrusions or insider threats
•    Vulnerability Management at Scale: Using AI to continuously scan thousands of connected devices, legacy systems, and operational technology assets to prioritize patching and remediation based on real-world exploitation risks