Comprehensive User Behavior Monitoring for Insider Threat Detection Provides Value to Both Security and Non Security Stakeholders
LOS ANGELES–(BUSINESS WIRE)–#EY—Gurucul, a leader in security and fraud analytics technology, today announced it was included as a Vendor to Watch in Gartner’s May 2019 Market Trends: UEBA Providers Must Embrace Specialization1 report. Gurucul is cited as a Vendor to Watch for insider threat defense.
According to Gartner, “Monitoring a user’s behavior, as the user interacts with data, network resources and applications, has proved to be incredibly useful to a broad range of security domains. In fact, it has been so effective in helping other technologies be better that the market for a general purpose user behavioral monitoring tool (UEBA) is threatened to move forward in its current form. Information about users is good when it stands alone, but it is great when combined with threat-related (or other program-related) data.”
Unlike SIEM platforms, Gurucul consumes petabytes of data without charging any fixed or variable costs and uses advanced analytics, machine learning and AI to detect insider threats as well as multiple, distinct use cases including privileged access abuse, insider fraud, risk based access reviews, access outliers and data exfiltration. Deep behavioral analysis of contextual data, which provides risk prioritized actionable results presented in business friendly dashboards tailored for various stakeholders, is cited by buyers as the main driver for implementing Gurucul as a dedicated platform for their Insider Threat programs.
“Inclusion as a Vendor to Watch in the Gartner Market Trends report, we believe, validates the benefits we provide for insider threat mitigation as a stand alone UEBA and behavior-based security analytics platform,” said Nilesh Dherange, CTO of Gurucul. “We feel that our ability to predict, detect, prevent and deter insider threats is one of the top use cases for customers.”
(1) Gartner, Inc. “Market Trends: UEBA Providers Must Embrace Specialization” by Eric Ahlm, 31 May 2019.
Gurucul UEBA uses machine learning models on an open choice of big data lake to detect unknown threats in early stages of exploitation to prevent and mitigate risks. It supports processing of structured and unstructured IT and business application data in real-time, and quickly identifies and risk scores anomalous activity to enable faster incident detection and automated risk response. Gurucul provides out-of-the-box dashboards, timeline and reports addressing various stakeholder needs/goals including security, data privacy, compliance, legal, human resources, and IP protection.
Gurucul’s Insider Threat detection capability addresses EO 13587 and NIST Insider Threat Program guidelines. For more information, visit: https://gurucul.com/solutions/insider-threat.
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 in the cloud and on premises. Gurucul’s real-time behavior based security analytics and intelligence technology combines machine learning behavior profiling with predictive risk-scoring algorithms to predict, detect and prevent breaches, fraud and insider threats. 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 https://gurucul.com/ and follow us on LinkedIn and Twitter.
Kevin Franks, Director of Marketing