User and Entity Behavioral Analytics

Interset UEBA empowers security teams to find and respond to unknown threats – before it’s too late.

Step into next-generation security operations with threat detection software that finds unknown threats quickly.
Find unknown threats
Find unknown threats

Detect insider threats or targeted attacks by learning the unique normal behavior of every entity and detecting the most anomalous behaviors. Learn more.

See threats in context
See threats in context

Investigate risks quickly via an intuitive UI and comprehensive API that shows unusual activities as they relate to previous and peer behaviors. Learn more.

Cut through the noise
Cut through the noise

Distill billions of events into a list of prioritized threat leads, reducing alert fatigue and enabling you to focus on the threats that matter. Learn more.

Boost SOC productivity
Boost SOC productivity

Create a human-machine team in which security teams can bypass manual processes and spend time investigating real risks thoroughly. Learn more.

Respond before damage is done
Respond before damage is done

Execute faster-than-human response with output risk assessments for initiating actions via automation, orchestration, and alerting solutions. Learn more.

Scale as you grow
Scale as you grow

Scale to meet the needs of the world’s largest, most sophisticated environments with Interset’s native big data architecture. Learn more.

Dive deeper. Discover more.

  • Find unknown threats
    Find unknown threats

    Find unknown threats
    Find unknown threats

    With unsupervised machine learning, Interset UEBA measures “unique normal”– a digital fingerprint of each user or entity, which can be continuously compared to itself or peers. This approach to behavioral analytics enables security teams to detect traditionally difficult-to-find threats, such as insider threats and advanced persistent threats (APTs).

    Find unknown threats
  • Cut through the noise
    Cut through the noise

    Cut through the noise
    Cut through the noise

    Anomaly detection algorithms that expect the same behavior from every entity create a flood of distracting false alerts. Interset UEBA connects the dots between unusual behavior and real threats by using mathematical probability and unsupervised machine learning to identify the most suspicious entities.

    Cut through the noise
  • Boost SOC productivity
    Boost SOC productivity

    Boost SOC productivity
    Boost SOC productivity

    With more accurate and automated targeted attack and insider threat detection, SOC analysts can focus their time on investigating the threats that matter most, via an intuitive user interface (UI) and comprehensive API. Dashboards, timelines, filtering, and search capabilities enable analysts to quickly refine data and logs down to the most relevant information.

    Boost SOC productivity
  • Scale as you grow
    Scale as you grow

    Scale as you grow
    Scale as you grow

    Interset’s native big data architecture and unsupervised machine learning enables the solution to adapt to changes in the threat landscape, as well as to changes in your business. Interset’s machine learning is conducted “online” or in situ in your environment, which means that it can adapt to your data and discover new patterns without human instruction.

    Scale as you grow
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release-rel-2020-4-1-hotfix-4132 | Fri Apr 3 01:44:21 PDT 2020
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release/rel-2020-4-1-hotfix-4132
Fri Apr 3 01:44:21 PDT 2020