Gurucul Risk Analytics
The most advanced User Behavior Analytics platform that provides near real-time contextual threat analytics for user’s & device’s access and activity for on-premise and cloud applications
Organizations are spending billions of dollars a year on security products however recent security breaches have proven that the traditional security solutions are not providing the cyber security protection they are looking for. With data moving to cloud, the problem is growing exponentially. These security products generate petabytes of data and organizations spend countless man hours to prioritize and identify known risk patterns. But organizations still remain vulnerable.
Gurucul Risk Analytics is built upon our core architecture PIBAE (Predictive Identity Based Behavior Anomaly Engine) to identify anomalous behaviors across users, accounts, applications, and devices by leveraging behavior analytics, machine learning, and peer group modeling. Our big data enabled approach provides an organization with risk based compliance, continuous access governance and protection from under the- radar cyber campaign or sophisticated insider activity like IP Theft, Sabotage, and Fraud.
- Proactive and actionable alerting on anomalous behaviors to predict, detect, and deter insider threats & fraud
- Reduce the investigation time by more than 80% using contextual identity and visual investigation
- Proactively find data exfiltration to protect IP Theft and Brand Sabotage
- Soundproof Cyber Security infrastructure using Machine learning and big data security analytics
- Enable smart and automated Access and Data Governance by leveraging risk based access controls, intelligent roles™, dynamic access provisioning, and High privilege account monitoring
Gurucul Risk Analytics is built upon our core architecture PIBAE to identify anomalous behaviors across users, accounts, applications, and devices by leveraging behavior analytics, machine learning, and peer group modeling
Powered by Predictive Identity Based Behavior Anomaly Engine that provides:
- Library of Machine Learning Algorithms
- Flexible Meta Data Framework
- Fuzzy Logic Based Identity Correlation
- Most Granular & Self Tuning Risk Modeling Capabilities
- Signature-Less Technology
- Built for Scale Using Big Data Foundation
360 Degree View of Identity, Access, Activity, and Alerts for On-Premise and Cloud Applications
Correlate data across on-premise and cloud applications to create contextual identity – who is the user, what access he has, activity are they performing, and associated alerts
Context Aware Visibility of An Attack Lifecycle
Out of the box timeline view to highlight the anatomy of an dvanced attack whether it be an insider or external. (Timeline View)
Intelligent Access Analytics
Real-time analytics on accounts and access to identify anomalies, improve access control, and data governance.
Automated Self Audit
End user awareness with a customizable online view of their behavior profile activity to identify anomalies and potential misuse of identities
Gurucul is dedicated to transforming the cyber security landscape using machine learning, intelligence-driven, big data security analytics. Using identity as a threat surface, Gurucul provides Actionable Risk Intelligence™ to protect against targeted attacks and under-the-radar cyber campaigns. Gurucul is able to proactively detect, prevent and deter advanced insider threats, fraud, and external threats to system accounts and devices using sophisticated self-learning, advanced behavior and anomaly detection algorithms.
Gurucul is backed by a strong advisory board comprising of fortune 500 CISOs, world renowned experts in government intelligence and cyber security. The company was founded by seasoned entrepreneurs with a proven track record of introducing industry changing enterprise security solutions. Their mission is to deliver rapid results to any organization that desires to protect its intellectual property, regulated information, and brand reputation.