Product Overview: Gurucul Risk Analytics (GRA)
Gurucul Risk Analytics (GRA) is a comprehensive and advanced security analytics platform designed to predict, detect, and prevent cyber security breaches across various enterprise and cloud environments. Here are the key features and functionalities of GRA:
Real-Time Threat Detection and Prevention
GRA utilizes machine learning, anomaly detection, and predictive risk-scoring algorithms to identify and mitigate security threats in real-time. It goes beyond traditional Security Information and Event Management (SIEM) capabilities by analyzing massive amounts of data from multiple sources, including networks, IT systems, cloud platforms, applications, IoT devices, and more.
Advanced Machine Learning Library
GRA is equipped with a vast library of over 1,000 pre-packed machine learning models, enabling organizations to implement model-driven security. These models can be customized or built using Gurucul STUDIO, which allows users to create custom behavior models without requiring extensive coding or data science knowledge.
User and Entity Behavior Analytics (UEBA)
GRA leverages UEBA to provide a 360-degree view of user and entity behaviors, detecting risky outliers and abnormal activities indicative of security threats. This approach helps in identifying unknown threats that would otherwise appear as normal activity to rules-based engines.
Unified Security and Risk Analytics
The platform combines several security capabilities, including SIEM, UEBA, Network Traffic Analysis, Security Orchestration, Automation, and Response (SOAR), log aggregation, and intelligent threat hunting. This unified approach allows for the detection of both known and unknown threats in real-time and automates responses to security incidents.
Insider Threat Management
GRA’s insider threat management solution uses behavioral-based machine learning detection models to contextualize suspicious activity. It integrates security, identity, and HR telemetry to provide a comprehensive view of user behavior, enabling proactive identification and mitigation of insider threats. The solution reduces false positives and allows for automated response playbooks based on customized workflows.
Risk Scoring and Automated Response
GRA generates a unified risk score for every user and entity, enabling organizations to focus on the highest risk areas. It automates downstream actions and applies risk-based controls, such as blocking internet access for users exhibiting high-risk behavior.
Integration and Scalability
The platform is cloud-native and can scale to handle massive amounts of data in real-time. It integrates with various downstream security solutions, including SIEM, SOAR, incident response, and ticketing platforms, to trigger appropriate risk remediation actions. GRA also supports a choice of big data repositories for scalability.
Compliance and Visualization
GRA provides compliance reporting, dashboards, and visualizations, making it easier for security analysts to investigate and respond to threats. The platform covers 83% of the MITRE ATT&CK Framework tactics and techniques, ensuring robust threat detection and prevention.
In summary, Gurucul Risk Analytics is a powerful tool that enhances security posture by leveraging advanced machine learning, UEBA, and real-time analytics to detect and prevent cyber threats, both from external sources and insider activities, while providing a unified and scalable security solution.