User and Entity Behavioral Analytics, Machine Learning, AI and Insider Threats

Download our datasheets and solution briefs to learn how SOC teams can quickly surface hidden signals of insider threats, and scale their cybersecurity defense efforts with big data and unsupervised machine learning.
Interset UEBA 101: Find the Threats That Matter

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Interset user and entity behavioral analytics (UEBA) allows security teams to detect, investigate, and respond to threats that may be hiding in your enterprise—before your data is stolen. Powered by machine learning, Interset UEBA swiftly qualifies top threats so your security team can address them efficiently and effectively.

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Interset UEBA and MITRE ATT&CK

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Interset’s UEBA leverages more than 450 machine learning models to baseline the behavior of every user and entity within an organization and evaluate deviations from those baselines as potentially risky behaviors. Our machine learning models are carefully mapped to ATT&CK’s 219 techniques.

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We Uncover the Threats That Matter

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Interset UEBA detects and responds to threats before your data is stolen. It distills billions of events, generating a prioritized list of high-quality security leads to focus and accelerate the efforts of security operations centers making them more effective at threat hunting, triage, and investigation.

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Detecting a Native-State-Level Red Team Attack

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Interset’s UEBA shines a new light on existing endpoint data to uncover elusive threats. Combined with CrowdStrike Falcon EDR, Interset analyzes billions of events, identifies risky behaviors, and gives security teams real threat leads to follow.

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CrowdStrike + Interset

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Interset’s advanced user entity behavioral analytics (UEBA) augments Crowdstrike EDR to provides detailed and accurate data for threat detection, allowing SOC teams to better detect the signs of insider threats quickly and effectively.

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Find the Unknowns

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Endpoint detection and response (EDR) provides the most detailed and accurate data for threat detection. Interset UEBA analyzes billions of endpoint events so that security operations center (SOC) teams can quickly detect insider threats.

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