How can AI-driven threat hunting be applied to OT networks?

AI-driven threat hunting techniques can be applied to Operational Technology (OT) networks for deeper insights by leveraging advanced algorithms and machine learning models to analyze large volumes of data generated within OT environments. This approach can help in detecting anomalies, identifying potential threats, and predicting possible security breaches before they occur. By utilizing AI-driven threat hunting techniques, cybersecurity professionals can proactively monitor OT networks, detect unusual patterns, and respond swiftly to potential security incidents. This results in enhanced visibility, improved threat detection capabilities, and ultimately better protection for OT systems against cyber threats.