How does AI facilitate the detection of insider threats within OT networks by analyzing user behavior and access patterns?
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AI can facilitate the detection of insider threats within Operational Technology (OT) networks by continuously analyzing user behavior and access patterns. By employing machine learning algorithms, AI tools can establish baseline behaviors for each user and device within the network. Any deviations from these established patterns can raise alerts, indicating potential insider threats. AI can also monitor privileged access and unusual data transfers, flagging suspicious activities in real-time. This proactive approach enables organizations to detect anomalies and potential threats swiftly, helping prevent unauthorized access or data breaches within OT environments.