How Mature Behavior Analytics Accelerates Detection of Persistent Threats

Presented by

Sanjay Raja, VP Product Marketing and Solutions, Gurucul

About this talk

Many solutions that have some threat detection and response capabilities, such as SIEM and XDR, are claiming to add User and Entity Behavior Analytics (UEBA) to their solutions. The dirty secret is that they still produce single indicators of compromise (IoCs) that are not battle-tested enough and also siloed from other analytics or detection models to be effective. In fact, they flood security teams with even more alerts and false positives. In this webinar we'll show you how a more integrated and mature approach to implementing UEBA can prevent damage to organizations. Gurucul UEBA accelerates the detection and validation of common threats that continue to evade current solutions or require slow and wasteful manual efforts to identify.

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Gurucul is transforming enterprise security with user behavior based machine learning and predictive analytics. Using identity to monitor for threats, Gurucul provides Actionable Risk Intelligence™ to protect against targeted and under-the-radar attacks. Gurucul is able to proactively detect, prevent, and deter advanced insider threats, fraud and external threats to system accounts and devices using self-learning, behavioral anomaly detection algorithms. Gurucul is backed by an advisory board comprised of Fortune 500 CISOs, and world renowned-experts in government intelligence and cyber security. The company was founded by seasoned entrepreneurs with a proven track record of introducing industry changing enterprise security solutions. Our mission is to help organizations protect their intellectual property, regulated information, and brand reputation from insider threats and sophisticated external intrusions.