The solution is useful for privilege accounts and super admin accounts. It is beneficial from a security perspective. The tool uses machine learning rather than threshold-based alerts. For instance, it can detect unusual user logins, such as a user logging in from a new browser or location.
Find out what your peers are saying about LogRhythm, Splunk, Hewlett Packard Enterprise and others in User Entity Behavior Analytics (UEBA). Updated: November 2024.
User and Entity Behavior Analytics (UEBA) is a type of cybersecurity solution that uses machine learning to monitor and analyze the behavior of users and entities (such as devices, applications, servers, etc.) in a network. UEBA can detect anomalous or malicious activities in real time and alert security teams or take automated actions.
UEBA solutions work by analyzing activity from network users and other entities, such as hosts, applications, data repositories, and network traffic. They...
The solution is useful for privilege accounts and super admin accounts. It is beneficial from a security perspective. The tool uses machine learning rather than threshold-based alerts. For instance, it can detect unusual user logins, such as a user logging in from a new browser or location.
The tool's most valuable feature is server threat hunting.
LogRhythm UEBA’s best feature is the dashboard. It provides several graphs, charts, and event logs.
It is easy to monitor users and that is how the solution is adding value to our firm.
What I like most about LogRhythm UEBA is that it allows you to identify and analyze end-user behaviors and suspicious activities within the systems.
Good capability pinpointing specific cyber incidents.