Leverage AI-driven behavioral analytics to detect and mitigate emerging security threats in real time
Versa User and Entity Behavior Analytics (UEBA) leverages AI-driven analytics and security research to detect and alert you to anomalous activities that may signal insider threats, compromised accounts, or advanced persistent threats (APTs). By identifying unusual behavior patterns in real-time, Versa UEBA becomes a critical component of your layered security strategy, helping you stay ahead of potential threats.
Real-time threat detection and response
Versa UEBA continuously monitors network traffic, user behavior, and system logs to baseline nominal behavior and detect unusual activities that could indicate potential security breaches. This includes application performance anomalies or latency discrepancies between locations. Entities analyzed include users, laptops, phones, IoT devices, and more.
Early detection of hidden security threats
Some of the common anomalous behaviors identified by Versa UEBA include infrequent destinations, impossible travel behavior, bulk deletions, bulk downloads, and suspicious access from different devices. In addition, Versa UEBA identifies behaviors that significantly deviate from the baseline of normal activities that the service maintains, to help identify new and emerging attack patterns and techniques.
Accelerate forensic analysis
Versa UEBA uses social graphs to detect anomalies, determine the blast radius and quickly find the root cause of a security incident. Security teams can easily visualize risk and accelerate forensic analysis to drill down into the relationships between users, devices, and apps/resources.
Improved context for threat detection and response
To enhance the fidelity of threat detections and accelerate incident response, Versa UEBA includes detailed insights into adversary behaviors from an expanded library of attack behaviors aligned to MITRE ATT&CK TTPs.