User-Centric Network Traffic Analysis
Corvil provides correlated insight into what users and hosts are doing on the network, highlighting risky entities for attention.
Organizations struggle to investigate users’ network activities because tools typically focus on hosts or IP addresses versus user accounts and because sources such as network flow data and firewall logs cannot provide the necessary context.
To really understand what users are doing within the infrastructure, security teams need visibility into multiple facets of their activities.
Corvil solves this problem by providing a user-centric view of activity, correlating user accounts with host devices, providing AI-powered behavioral anomaly detection to identify threats, and the deep packet forensics to fully investigate.
Corvil identifies anomalous user behaviors and network attack indicators in real-time and correlates into an overall risk score. Pinpointing the riskiest users and hosts in this way minimizes alert noise and saves time for analysts.
With a single click, security analysts can correlate suspicious user interactions with multiple systems (including uninstrumented hosts and IoT devices). This contextual analysis is powered by Corvil’s network traffic analysis that automatically discerns the relationships between users, hosts, files, flows, activities, etc. and identifies the riskiest devices and user accounts.