Early Determination of Attack Risk with Behavioral and Identity Analytics

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Presented by

Sanjay Raja, VP Product Marketing and Solutions | Antony Farrow, Sr Director of Solution Architecture

About this talk

Established User and Entity Behavior Analytics (UEBA) has become a critical capability for security operations in identifying known threats earlier and detecting unknown threats and new variants. While finding anomalous activity is important to provide an early warning into a potential attack campaign, combining that with identity analytics can better validate whether the anomaly is indicative of an attack. This unified set of analytics can greatly improve the efficacy of security operations in preventing a successful breach. In this webinar, we'll explore how security teams can improve their threat detection and incident response plan with UEBA and Identity Analytics and cover the following: - Introduction to UEBA why you need it - How Identity Analytics can provide great value to the SOC - How the combination can accelerate security operations - Common use cases that can be optimized - Quick Demo
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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.