Vega monitors user activity to pinpoint suspicious activity to safeguard against compromised accounts and malicious insiders.

By leveraging associated information such as role, group affiliations, geolocation, and working hours, it becomes possible to establish baseline behavioral patterns. Through this approach, the system can automatically identify deviations indicative of suspicious activity, including first-time logins and logins during non-standard working hours. This proactive detection method enhances security measures by swiftly flagging potential threats for further investigation and mitigation, thereby bolstering overall cybersecurity
defenses.

Rapidly identify malicious users

The system correlates user activities against other events to provide
holistic information to determine real-time risk levels. You will
receive an alert based on these suspicious activities. You can also
automatically disable compromised accounts or review activity
context to take necessary action.

User Behavior Analytics

Spots and Isolates compromised accounts