User Behavior Analytics
Gain visibility into behavioral anomalies that may signal an active insider threat
User Behavior Analytics (UBA) analyzes user activity to detect malicious insiders and determine if a user’s credentials have been compromised. Security analysts can easily see risky users, view their anomalous activities and drill down into the underlying log and flow data that contributed to a user’s risk score. As an integrated component of the QRadar Security Intelligence Platform, UBA leverages out of the box behavioral rules and machine learning (ML) models to add user context to network, log, vulnerability and threat data to more quickly and accurately detect attacks.
Gain visibility into insider threats
Guard against rogue insiders and cybercriminals using compromised credentials. Uncover anomalous behaviors, lateral movement, threats and data exfiltration with a user focus.
Detects insider threats based on user behavioral anomalies
Generates detailed risk scores for individual users
60 day trial for FREE
till april 30
The solution is quickly implemented in a couple days time and you will see an immediate improvement in your IT security by using user behavior analytics.
Contact us for a FREE consultation and solution trial.
For applications until APRIL 30th we are offering a two-month solution trial for FREE.