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Get in-depth insights into LogRhythm’s capabilities. Discover how we can support your security needs.

Get to know LogRhythm UEBA

As cyberattacks continue to grow in volume and sophistication, it’s more important than ever to have greater detection capabilities with advanced analytics.

LogRhythm UEBA uses machine learning to detect user-based anomalies and helps analysts prioritize the findings for investigation and response.

A Guide to User and Entity Behavior Analytics (UEBA)

Insider threats remain a constant concern for organizations. In this white paper, learn all about UEBA and how you can reduce risk to user-based threats.

Defend your organization with advanced user behavior analytics

Self-evolving ML for faster threat detection and analysis

With LogRhythm UEBA, your team’s threat detection improves by applying self-evolving ML algorithms for security across enormous, cloud-based centralized datasets.

LogRhythm UEBA can help you detect:

  • Insider threats
  • Account compromise
  • Privileged account abuse and misuse

Get ready to defend with LogRhythm UEBA

Solve today’s threats — and tomorrow’s too

With a cloud-native architecture, enhancements are introduced immediately. Your team will be prepared to solve for not just today’s threats — but also the inevitable advanced threats that will come your way.

Achieve rapid time to value

Start benefiting immediately with cloud delivery. Plug-and-play implementation lets your team focus on their mission instead of spending valuable time implementing and maintaining a new tool.

Get smarter, faster

LogRhythm UEBA learns from and evolves in your environment. It uses machine learning for continuous, automated tuning without manual intervention, so your security quickly grows smarter.

Accelerate threat detection

As a fully integrated add-on for the LogRhythm SIEM platform, LogRhythm UEBA gives your team unparalleled detection by using machine learning to detect hard-to-find anomalies.

Leave data preparation to LogRhythm

LogRhythm helps customers prepare and analyze metadata using LogRhythm’s Machine Data Intelligence (MDI) Fabric. The MDI framework provides data enrichment and normalization with unique, rich metadata, and contextual information that feeds into the LogRhythm SIEM platform into LogRhythm UEBA.

If you would like more information on LogRhythm, contact us today!