User & Entity Behavior Analytics (UEBA)

Pinpoint Attacks by Detecting Anomalies in User Behavior

Conventional threat prevention technologies are failing; the constant barrage of high-profile data breaches reveals that attackers can bypass controls at the network perimeter. So, what can organizations do to stop active attackers fast?

Optimize Attack Detection with Machine Learning

Many organizations today are inundated with security alerts—to the tune of thousands or even hundreds of thousands of alerts per day for large enterprises. Overwhelmed by the sheer number of alerts, IT security teams hire teams of threat hunters to sift through security events and find the events that matter. Or worse yet, they let security alerts accumulate in their SIEM without any investigation or resolution.

User and entity behavior analytics (UEBA) solutions alleviate some of the challenges of security event management by helping security analysts zero in on high risk activities. UEBA solutions profile user and entity behavior over time and recognize deviations in behavior that indicate attack, particularly lateral movement from a malicious insider or a compromised device.

Leverage Network, User and Endpoint Context for Full Attack Detection

UEBA solutions help achieve much of the original promise of log and security event management solutions, but they also suffer from many of the same weaknesses of log-based solutions, such as limited insight into network and endpoint behavior, voluminous storage requirements, and complex management.

Behavioral Attack Detection solutions, like LightCyber Magna, offer an alternative approach to detecting attacks; they analyze network traffic, user credentials, and endpoint processes to catch anomalies during every stage in the cyber kill chain. Behavioral Attack Detection combines the most important elements of UEBA, Network Traffic Analysis (NTA), and Endpoint Detection and Response (EDR) to uncover every threat.

Read the Gartner 2016 Market Guide for User and Entity Behavior Analytics (UEBA)

Improve Detection Accuracy with Broad Analytical Inputs

Behavioral Attack Detection can monitor all aspects of an attacker’s tactics and techniques, including the endpoint process that initiated the suspicious network traffic. With the ability to triangulate on the attacker from multiple different attack perspectives, Behavioral Attack Detection has a greater opportunity to catch an attacker and to confirm suspicious activity with greater accuracy than UEBA—or NTA or EDR—alone.

Simply relying on logs to detect internal network attacks is not enough.

Gartner Report:

Market Guide for User and Entity Behavior Analytics

Enterprises use User and Entity Behavior Analytics (UEBA) to detect malicious and abusive user behavior by connecting the dots across data collected from users and entities to uncover security risks that criminals may exploit.

White Paper

5 Reasons to Choose Network-centric Attack Detection

Learn why network-centric behavioral analytics solutions provide more comprehensive, efficient and accurate detection than log-based solutions.



The Feeding Frenzy in New Attack Detection Solutions

Attack detection platforms can analyze network traffic, logs, or endpoint data. How should a customer compare these three approaches?


Gartner Market Guide for User Entity and Behavior Analytics, Toby Bussa, Avivah Litan and Tricia Phillips, December 8, 2017

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