USER ENTITY BEHAVIOR ANALYTICS (UEBA)
Find what you’re not looking for.

Behavioral analysis and statistical modeling helps unearth anomalies, but the key to effective User and Entity Behavioral Analytics (UEBA) is context.

The Gurucul UEBA solution starts learning and adapting to normal activity from day one—so it can detect suspicious or anomalous activity right from the start.

It delivers a dynamic risk score that adjusts in near real-time as behavioral deviations are put into context with a range of surrounding telemetry, so security analysts can quickly distinguish false positives from true threats and act accordingly.

Focus on true threats, not false positives

The Gurucul UEBA solution leverages data science to give security analysts a complete picture from all relevant data sources—security and non-security—so you can quickly and accurately prioritize true threats using a dynamic and normalized risk scoring engine.  

By utilizing over 3,000+ advanced machine learning models for ongoing learning and adaptation, the Gurucul UEBA tool offers a robust defense against emerging and complex security risks, such as compromised credentials, insider threats, zero-day exploits, and advanced persistent threats (APTs)—challenges that conventional security solutions often struggle to address.

See behavioral deviations in context

Not all anomalies are risks, but all risks start with an anomaly.

The power of the Gurucul UEBA solution resides in it’s ability to cross-validate behavioral deviations against identity, network, cloud, security and IT Ops data—regardless of the format, source or location of the data. 

Security analysts are presented with a complete historical timeline of all relevant entity and user activities, as well as the associated risk score—streamlining threat detection, investigation and response from a single, unified big data platform.

Prioritize real risk over anomalies

The Gurucul UEBA solution integrates a customizable, dynamic risk score engine that utilizes machine learning to quantify and elevate business risk in real-time, adjusting scores and adapting to any risk framework.

This approach enables the normalization of risk scores from 0-100 and their dynamic real-time updates as activity occurs, facilitating the prioritization of true threats. Additionally, the solution leverages adjacent telemetry to provide security analysts with a timeline view of contextualized activity, streamlining the investigation of potential threats.

The UEBA solution is ready day one with prepackaged content, but is also fully customizable to meet the unique needs of your enterprise.

Get contextualized evidence at your fingertips

Using a patented technique called Link Chain Analysis, Gurucul UEBA automatically stitches together threat information and context—resulting in a comprehensive case of evidence. With ultimate clarity from a single interface, analysts can quickly and confidently respond to true threats. 

Powered by REVEAL: The Dynamic Security Analytics Platform

REVEAL is the visionary security platform that delivers radical clarity into your cyber risk and drastically reduces data costs. It’s a unified suite of capabilities and tools that uncover true threats and quantify risks in real-time—regardless of the data source, across the entire IT estate.

REVEAL gives security teams the visibility, focus, and perspective they need to outpace threats and focus on what matters most.

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UEBA Use Cases

Insider Risk and Threat Monitoring

User behavioral deviations are a leading indicator of insider risk. Gurucul UEBA puts baseline deviations into context, connecting anomalous behavior with adjacent telemetry to verify true insider threats.

Host and Device Compromise Detection

Gurucul UEBA detects baseline deviations for all entities and further enriches the anomalous behavior by cross-validating the deviation against related data sources to determine if a risk is truly a threat.

Unsanctioned Lateral Movement Detection

When users or entities start to connect with systems outside of their normal baseline, Gurucul UEBA identifies this anomalous behavior, flags the potential risk, and provides additional context to determine an appropriate response.

Early Ransomware Detection

Gurucul UEBA can identify early signs of ransomware attacks by detecting file access patterns that deviate from normal user or entity behavior.

Data Exfiltration Prevention

Detect unauthorized attempts to move, copy, or send sensitive data outside of the organization with the Gurucul UEBA solution.

Account and Credential Compromise

Gurucul UEBA monitors for abnormal activities performed by users with privileged access permissions, helping to prevent misuse or compromise of those sensitive account credentials.

ONE Modular & 
Flexible Platform.

Four essential capabilities.