SigaML² addresses this gap with tools that cover not only detection but also providing real-time information to support critical decision-making during the Incident Response phase, offering visibility from the physical process level (Level 0) to Levels 1-4- PLCs, Control Software (HMI) etc.
Multi-Layer Machine Learning Process-Oriented OT Cybersecurity solutions suite for early alerts and critical Incident Response (IR) during the expression phases of an OT cyber-attack
SigaGuard continuously monitors raw operational data from industrial processes, providing an unfiltered view of system behavior. By analyzing process-level data in real time, it detects anomalies that traditional IT-based systems may miss.
The most reliable way to know with certainty that a cyber event is underway. Classifies whether an event is an operational event or an OT cyber breach using various AI models as well as comparing it to the MITRE database of known attacks.
Runs comparisons between Level 0 and Level 1-4 data to identify possible False-Data Injection (Stuxnet-like) attacks in real-time.
Software-based simulated anomalies to replicate real-world attack scenarios. This process enables organizations to prepare for and respond to OT-specific threats without disrupting ongoing operations.