UEBA

AI Fueled Behavior Analytics to Identify Real Entity Risk

As the threat landscape continues to evolve, security leaders responsible for protecting data are turning to behavior analytics to prevent data exfiltration from accidental, malicious, and compromised users.  

Our security analytics platform provides unparalleled context by fusing structured and unstructured data to identify and disrupt malicious, compromised, and negligent users. We uncover critical problems such as compromised accounts, corporate espionage, intellectual property theft, and fraud.

UEBA should be deployed because traditional preventative measures are no longer enough. UEBA provides you with a more  comprehensive way to make sure that your organization has the most up to date IT security while also helping you to detect users and entities that might compromise your system. 

UEBA takes note of normal conduct of users then using machine learning, algorithms and statistical analysis, it detects any anomalous behavior or instances when there are  deviations from “normal” patterns. With UEBA you do not track security events or monitor devices, rather, you track users and entities in your system. 

UEBA focuses on insider threats, such as employees who have gone rogue, employees who have already become compromised and people who already have access to your system and can then carry out targeted attacks and fraud attempts.