LOS ANGELES--(BUSINESS WIRE)--Gurucul, a leader in behavior based security and fraud analytics technology for on-premises and the cloud, today announced at the Gartner Security & Risk Management Summit 2018 that it was recognized as a representative vendor in Gartner’s Market Guide for Online Fraud Detection1. Gartner acknowledged Gurucul for fraud analytics in this report.
Gurucul will demonstrate Gurucul Fraud Analytics at Gartner Security & Risk Management Booth 961.
According to Gartner, “Online fraud detection is growing in complexity and demand, and its tools are being used for risk-based authentication and new account fraud prevention. Security and risk management leaders involved in online fraud detection should use machine-learning analytics and cloud-based deployment options."
Gurucul Fraud Analytics goes beyond traditional solutions that are based on rules, signatures and patterns. To detect fraud early in the “Cyber Fraud Kill Chain”, Gurucul ingests huge volumes of data generated by users / entities across multiple channels from on-premise and cloud applications to identify anomalous and potentially fraudulent behavior that spans time, place, access and actions.
The Gurucul Fraud Analytics risk engine continuously scores this activity against historical behavior as well as dynamically created peer groups and generates risk prioritized alerts for investigation or to automate risk remediation response actions. Gurucul risk scores can be used by applications to enforce security policies or make real-time business decisions to prevent fraud before it occurs, such as introducing step-up authentication challenges.
“Recognition as a representative vendor in the Gartner Market Guide, we believe, validates why Global 1000 companies and government agencies rely on Gurucul to fight online fraud,” said Nilesh Dherange, CTO of Gurucul. “Our innovations in fraud prevention and security using machine learning and behavior analytics on big data enable customers to detect threats in real-time that evade traditional rules-based approaches.”
(1) Gartner, Inc. "Market Guide for Online Fraud Detection" by Jonathan Care, Tricia Phillips, 31 January 2018.
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About Gurucul Risk Analytics
Gurucul Risk Analytics (GRA) is a multi-use behavior based security and fraud analytics platform. Its open architecture supports a choice of big data for scale, can ingest virtually any dataset for desired attributes and includes configurable prepackaged analytics for detecting insider threats and fraud. In addition, Gurucul STUDIO enables customers to create custom machine learning models to meet unique 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 and fraud. The Gurucul platform has been successfully deployed by several government agencies and Global 1000 companies.
Gurucul is a global cyber security 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 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 and account compromise. The company is based in Los Angeles. To learn more, visit http://www.gurucul.com/ and follow us on LinkedIn and Twitter.