SIGA’s out of band monitoring of the raw electrical signals from actual devices (Zone 0) provide anomaly detection, unparalleled visibility and insights into manufacturing processes. Application of advanced analytics to actual electrical sensor data, historical performance and unsupervised machine learning ensure continuous, reliable, optimized manufacturing operations, reduce scrap, enhance product quality and increase output.
The electrical signals are acquired directly from the control loop between the sensors/actuators and the PLC using unidirectional isolators and transferred to a separate network. This raw data is analyzed by SIGA’s smart AI engine providing real-time, totally reliable status of the critical end-devices of the OT network.