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Gurucul Named Coolest Threat Detection Vendor for 2017 by CRN

Leading UEBA Vendor Recognized for Pinpointing Threats using Machine Learning and Behavioral Analytics

LOS ANGELESMarch 9, 2017 – Gurucul, a leader in user and entity behavior analytics (UEBA) and identity analytics (IdA) for on-premises and the cloud, today announced it was named one of the 20 Coolest SIEM And Threat Detection Vendors for 2017 by CRN, a brand of The Channel Company.  The company is profiled in CRN’s annual Security 100 ranking.

“Being named one of the coolest threat detection vendors for 2017 by CRN is further proof of the innovation and revenue generating opportunities our user and entity behavior analytics (UEBA) platform delivers for the channel,” said Saryu Nayyar, CEO of Gurucul. “Security oriented service providers now recognize that identity has become ground zero for most of today’s largest data breaches. As a result, addressing identity as an attack surface is emerging as one of their top concerns.”

In the past 12 months, Gurucul has received the following industry accolades:

Gurucul Risk Analytics (GRA) is a multi-use UEBA platform with an open architecture that supports a choice of big data for scale, the ability to ingest virtually any dataset for desired attributes and includes configurable prepackaged analytics. In addition, Gurucul STUDIO enables service providers to create custom machine learning models to meet unique customer requirements without coding and minimal data science knowledge. GRA ingests and analyzes huge volumes of data generated when users access and interact with business applications, in both the data center and the cloud, to generate risk scores, identify security threats and prevent data breaches. The Gurucul GRA platform has been successfully deployed by government agencies and Global Fortune 500 companies.

About Gurucul

Gurucul is changing the way enterprises protect themselves against insider threats, account compromise and data exfiltration on-premises and in the cloud. The company’s user behavior analytics and identity access intelligence technology use machine learning anomaly detection and predictive risk-scoring algorithms to reduce the attack surface for accounts, unnecessary access rights and privileges, and to identify, predict and prevent breaches. Gurucul technology is used globally by organizations to detect insider threats, cyber fraud, IP theft, external attacks and more. The company is based in Los Angeles.   To learn more, visit http://www.gurucul.com and follow us on LinkedIn and Twitter.
Media Contact
Marc Gendron
Marc Gendron PR
781-237-0341
marc@mgpr.net

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