How does AI enhance anomaly detection in OT networks by identifying irregular patterns in system behavior?
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AI enhances anomaly detection in Operational Technology (OT) networks by utilizing machine learning algorithms to analyze data patterns and identify irregular behaviors within the system. Through continuous monitoring and analysis of data from various sensors and devices, AI can learn normal patterns of system behavior and detect deviations that may indicate potential security threats or malfunctions. By recognizing anomalies in real-time, AI can help OT networks proactively respond to issues, improve cybersecurity, and ensure the reliability and safety of industrial operations.