How can AI identify network anomalies in hybrid OT and IT infrastructures to ensure secure integration?
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AI can identify network anomalies in hybrid OT (operational technology) and IT infrastructures by leveraging machine learning algorithms to detect unusual patterns or behaviors within the network traffic data. It can analyze vast amounts of data in real-time, flagging anomalies that could indicate security threats or potential issues. AI can also utilize predictive analytics to forecast possible anomalies based on historical data. By continuously learning and adapting to the network environment, AI can enhance cybersecurity measures in hybrid infrastructures by promptly identifying and responding to anomalies to ensure secure integration.