UEBA uses behavior-based anomaly detection and machine learning to detect subtle deviations in user and entity behavior, enabling early identification and neutralization of insider threats such as account misuse, compromised credentials, and lateral movement.
By aggregating and correlating behavioral data across users, devices, and applications, UEBA provides holistic risk insights and contextual intelligence by developing an Entity Risk Score, empowering security teams with situational awareness to prioritize and respond effectively to emerging threats.
UEBA reduces alert fatigue by filtering noise and automating threat scoring and prioritization, streamlining SOC workflows. This enables analysts to focus on the most critical risks for faster, more precise investigations and incident response.
UEBA continuously learns and baselines normal user and entity behavior to detect subtle deviations that indicate insider threats and advanced attacks. This adaptive machine learning uncovers hidden risks that traditional rule-based tools miss, enabling proactive threat detection.
Aggregate risk signals from multiple sources into a single, actionable risk score per user or entity. Dynamic scoring prioritizes threats effectively, reducing alert fatigue and helping SOC teams focus on the most critical risks.
Uncover sophisticated threats spanning multiple systems by correlating behaviors across users, devices, endpoints, and cloud applications to detect complex attack patterns such as lateral movement and privilege abuse.
Empower analysts with enriched alert metadata, peer group comparisons, and historical behavioral context to boost situational awareness. Leverage visualizations like threat timelines and risk heat maps to drive faster, more confident decisions.
Leverage multiple machine learning models to continuously monitor and detect emerging threats without manual intervention. Automated prioritization ranks security events by risk level, streamlining SOC workflows and accelerating incident response.
UEBA natively integrates with Splunk’s security ecosystem to unify detection, investigation, and response workflows. This integration centralizes incident views and enhances SOC efficiency by combining UEBA’s behavioral insights with SIEM correlation rules.
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