Gurucul, a leader in security and fraud analytics technology, and a recognized Winner in the 2018 ‘ASTORS’ Homeland Security Awards Program, announced it was included as a ‘Vendor to Watch’ in Gartner’s May 2019 Market Trends: User and Entity Behavior Analytics (UEBA) Providers Must Embrace Specialization report.
Gurucul is cited as a Vendor to Watch for insider threat defense.
|“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,” according to Gartner.”
“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 security information and event management (SIEM) platforms, Gurucul’s User and Entity Behavior Analytics (UEBA) 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 defense as a standalone User and Entity Behavior Analytics (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.”
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.
(Hear from Gurucul customers Allina Health, InfoSys, Entrust Datacard [also a competitor in the 2019 ‘ASTORS’ Homeland Security Awards Program], and AETNA, as they share the benefits in their experience with Gurucul Behavior Based Security Analytics and Intelligence technology in their own words, from . Courtesy of Gurucul and Vimeo. Posted in April 2019.)
Gurucul Risk Analytics (GRA)
Furthermore, GURUCUL RISK ANALYTICS (GRA), which is competing in the 2019 ‘ASTORS’ Homeland Security Awards Program, was recently recognized for its superior ability to reduce the risk of cyber threats and fraud for financial institutions in the 2019 Risk Technology Awards program.
“Being recognized as product of the year by Risk provides further validation for what financial institutions tell us — that GRA can detect insider threats and account compromise attacks that evade rules based security products,” explained Craig Cooper, Chief Operating Officer at Gurucul.
“Our advanced analytics and machine learning models risk score threats to reduce false positives and predict fraudulent activity.”
The Gurucul Risk Analytics platform ingests and analyzes massive amounts of structured and unstructured data on user and entity behaviors from virtually any data source on any platform.
It then applies identity-centric, model-driven data science, machine learning, anomaly detection and predictive risk-scoring algorithms to identify not just anomalous behavior, but activity indicative of security threats, even stealth threats like malicious insiders, fraud attempts, and account compromise attacks.
Gurucul has the largest machine learning library in the industry with over 1400 pre-packaged models, which includes unsupervised, supervised and deep learning algorithms, and versions that are pre-tuned to predict and detect specific threats that impact not only financial institutions, but also healthcare and retail organizations.
GRA is the only behavior based security analytics and intelligence solution to be offered as a service through the cloud.
Gurucul 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.
It 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.
(1) Gartner, Inc. “Market Trends: UEBA Providers Must Embrace Specialization” by Eric Ahlm, 31 May 2019.
(See how Gurucul is transforming the enterprise security with user behavior based machine learning and predictive analytics. Using identity to monitor for threats, Gurucul provides Actionable Risk Intelligence™. Courtesy of Gurucul and YouTube.)
Gurucul Competes in the 2019 ‘ASTORS’ Homeland Security Awards Program
- Best User and Entity Behavior Analytics (UEBA)
- Gurucul Risk Analytics (GRA)
As a 2019 ‘ASTORS’ Homeland Security Awards Program Competitor, Gurucul will be competing against the industry’s leading providers of Cyber Security Solutions.
Comprehensive List of Categories Include:
|Access Control/ Identification||Personal/Protective Equipment||Law Enforcement Counter Terrorism|
|Perimeter Barrier/ Deterrent System||Interagency Interdiction Operation||Cloud Computing/Storage Solution|
|Facial/IRIS Recognition||Body Worn Video Product||Cyber Security|
|Video Surveillance/VMS||Mobile Technology||Anti-Malware|
|Audio Analytics||Disaster Preparedness||ID Management|
|Thermal/Infrared Camera||Mass Notification System||Fire & Safety|
|Metal/Weapon Detection||Rescue Operations||Critical Infrastructure|
|License Plate Recognition||Detection Products||And Many Others!|
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.
The company’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.