After all, there’s a growing need for UEBA solutions. We also sought to reposition LogRhythm UEBA’s importance in LogRhythm’s suite of products. We recently updated the name to LogRhythm UEBA to better describe LogRhythm’s vision of holistic analytics around UEBA. LogRhythm UEBA saves analysts time by prioritizing only threats or anomalies that require further investigation. Often security teams need to collect and analyze a lot of data manually to try to identify anomalies that are potential threats. It uses machine learning to detect outliers, such as what is normal behavior versus abnormal behavior (e.g., outliers or unusual user activity) that warrants additional investigation. Offered as a cloud native add-on, LogRhythm UEBA is easy to deploy within the LogRhythm SIEM Platform. Formerly known as CloudAI, LogRhythm UEBA detects changes in user behavior that alert users to potential threats. Why LogRhythm UEBA MattersĪnytime you need to compare activity against a user’s baseline, advanced analytics come into play. Read on to learn what’s new with LogRhythm UEBA and how we’ve enhanced the product to offer greater customer value and advanced threat detection.

That’s the foundation of LogRhythm UEBA, our cloud native user entity behavior analytics (UEBA) solution. LogRhythm understands the desire for greater visibility and advanced analytics to detect anomalies tied to potential user attacks. As your security operations center (SOC) becomes more mature and you have already setup deterministic rules, it’s vital to expand your threat detection coverage with anomaly detection. That’s why it’s harder than ever to detect employees’ anomalous behavior or compromised accounts. The cyberthreat landscape has become more sophisticated due to the volume and complexity of attacks.

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