Gurucul Risk Analytics Evaluated in Report that Looks at 13 Providers that Matter Most and How They Stack Up
LOS ANGELES–(BUSINESS WIRE)–Gurucul, a leader in behavior based security and fraud analytics technology for on-premises and the cloud, today announced it was named a strong performer in the recent report, The Forrester Wave™: Security Analytics Platforms, Q3 2018. In the report, Forrester evaluated the strengths and weaknesses of top security analytics platform vendors against 30 criteria that span current offering, strategy and market presence.
|.@Gurucul named a strong performer for #securityanalytics by @forrester. Wave Report on providers that matter most, says enterprises looking for a robust security analytics tool should consider Gurucul||According to the report, “customer feedback indicates that Gurucul’s machine learning models, risk scoring, and flexibility are strengths… Enterprises looking for a robust security analytics tool with strong security user behavior analytics (SUBA) and data protection should consider Gurucul”.|
According to the report, “customer feedback indicates that Gurucul’s machine learning models, risk scoring, and flexibility are strengths… Enterprises looking for a robust security analytics tool with strong security user behavior analytics (SUBA) and data protection should consider Gurucul”.
“Legacy SIEMs rely on rules or signatures to identify threats, and lack advanced data science techniques like machine learning and behavioral anomaly detection. Since all SIEM platforms charge separately for data infrastructures, this limits the number of use cases organizations can implement,” said Nilesh Dherange, chief technology officer for Gurucul. “That’s why so many customers are making Gurucul’s Security Analytics platform the centerpiece of their security operations. Our flexible deployment options, open and no cost support for big data, and more than 1000 use case specific machine learning models can detect the most stealth attacks including insider threats and account compromise.”
Gurucul received the highest possible scores from Forrester in the data architecture, deployment options, advanced detection techniques, risk scoring and prioritization, user behavior analytics, cloud security, data security and delivery/implementation model criteria.
Gurucul Risk Analytics (GRA) is a multi-use behavior based security and fraud analytics platform with an architecture that supports an open choice of big data for scale, the ability to ingest virtually any dataset for desired attributes and includes configurable prepackaged analytics. The Gurucul GRA platform includes UEBA, Fraud Analytics, Identity Analytics and Cloud Analytics products. In addition, Gurucul STUDIO enables security teams 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.
Gurucul is a global cyber security and fraud analytics company that is changing the way organizations protect their most valuable assets, data and information from insider and external threats both on-premises and in the cloud. Gurucul’s real-time security analytics and fraud analytics technology combines machine learning behavior profiling with predictive risk-scoring algorithms to predict, prevent and detect breaches. Gurucul technology is used by Global 1000 companies and government agencies to fight cyber fraud, IP theft, insider threat and account compromise. The company is based in Los Angeles. To learn more, visit www.gurucul.com/ and follow us on LinkedIn and Twitter.
Marc Gendron PR
Marc Gendron, 781-237-0341