Company Recognized for Detecting and Preventing Insider Threats
LOS ANGELES – Gurucul, the identity-based threat detection and deterrence company, today announced that it has received two awards in the third annual Cyber Defense Magazine Awards competition, the industry’s leading electronic information security magazine. After an extensive editorial review and evaluation by independent information security experts, Gurucul Risk Analytics (GRA) suite won the Editor’s Choice Award for Insider Threat Solutions and the Cutting Edge Award for Insider Threat Prevention Solutions. The GRA suite detects and prevents insider threats with user behavior analytics.
As a winner, Gurucul is profiled in the April issue of Cyber Defense Magazine, which includes an article by Gurucul CEO Saryu Nayyar on “Five Tell Tale Signs of Insider Fraud”.
“We are honored to be recognized for two awards from Cyber Defense Magazine,” says Saryu Nayyar, CEO of Gurucul. “Detecting insider threats requires a deep understanding of user behaviors. Gurucul GRA treats identity as an attack surface and uses analytics to pinpoint anomalous and high risk activity in real time to prevent undetected breaches and fraud.”
Gurucul Risk Analytics (GRA) continuously monitors hundreds of attributes to detect and rank the risk associated with anomalous behaviors. It identifies and scores anomalous activity across users, accounts, applications and devices to predict risks associated with insider threats. By creating a behavior baseline using profile attributes from HR records, events logs and access, Gurucul can detect behavior associated to IT sabotage, data theft and privilege access abuse. This identity-based approach combined with self-learning algorithms enables organizations to not only detect but also predict insider threats and external attacks.
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Gurucul is changing the way enterprises protect themselves against threats inside their IT infrastructures from employees, third-party providers and external intruders. The company’s user behavior analytics technology uses machine learning and predictive anomaly detection algorithms to anticipate, identify and prevent breaches. Gurucul technology is used globally by organizations to detect insider fraud, IP theft, external attacks and more. Gurucul is based in Los Angeles. To learn more, visit us at www.gurucul.com and follow Gurucul on LinkedIn, Facebook and Twitter (@Gurucul).