How does AI improve detection accuracy in OT systems with minimal data?

AI can improve detection accuracy in OT (operational technology) systems with limited data availability or historical patterns through techniques like anomaly detection, predictive modeling, and transfer learning. Anomaly detection algorithms can identify unusual behavior or deviations from normal patterns in real-time, even with limited historical data. Predictive modeling can forecast potential issues based on the available data, helping prevent failures or malfunctions. Transfer learning allows AI models trained on one dataset to be adapted and refined using limited data from the OT system, enhancing detection accuracy. By leveraging these AI techniques, OT systems can better respond to threats and anomalies, even in scenarios with restricted data availability or historical patterns.