From Noise to Insight: How OT Analytics Pinpoint Real Threats in Critical Infrastructure
Featuring Dr Jonathan Goh, Head of Machine Learning, Ensign InfoSecurity
In this video, Dr Jonathan Goh, Head of Machine Learning at Ensign InfoSecurity, explains how OT analytics and machine learning are transforming the way we defend critical infrastructure—such as water plants and power grids—against modern cyber threats.
Today’s operational environments are inundated with alerts from disconnected systems, often lacking the necessary context for swift and informed decision-making.
Dr Goh outlines Ensign’s hybrid approach, which combines machine learning with rule-based analytics to not only detect anomalies but also pinpoint their exact location within industrial systems. By correlating these anomalies with network telemetry and threat intelligence, mapped against the MITRE ATT&CK for ICS framework, operators gain rapid, contextual insight into potential threats.
