Continuous Threat Detection was specifically designed to ensure safe, secure and reliable operations in large, complex networks – ensuring zero impact to the operational processes and underlying devices. By extracting fine-grained details about each device on the industrial network, profiling all communications and protocols, CTD generates a behavioral pattern that characterizes legitimate traffic, alerting upon any network changes, vulnerabilities and threats.
Identify zero-day and known threats with CTD’s five Deep Packet Inspection (DPI) detection engines.
Identify devices with known vulnerabilities for fast and efficient mitigation.
Automatically discover and manage IoT and OT devices with a centralized, user-friendly interface.
Consolidate and centrally manage data from multiple disparate sites.
ML Alert Algorithm: Correlate past and predictive models of behaviour with online patterns to eliminate distracting and costly noise in the form of false positives and normal changes.
The industry’s first real application of AI for OT and IoT that correlates real-time changes with online patterns and network behaviors to create detailed profiles for every device according to the process state to quickly detect critical conditions.
Leveraging AI-powered dynamic learning algorithms.
Facilitate Risk triage and Root Cause Analysis (RCA) with visibility into the chain of events leading up to every alert.
Speed workflows leveraging customizable alerting thresholds.
Roll-out across multiple sites and reach full-scale enterprise deployment is less than 60 days and lower Total Cost of Ownership (TCO).
Enterprise-wide scalability with optimum performance and stability.
Consolidated OT cyber security and visibility across highly distributed sites
Enterprise-wide deployment in less than 60 days leveraging highly adaptive, multiple appliance models and flexible deployment architectures.