Gurucul Risk Analytics (GRA)

Gurucul Risk Analytics (GRA) is a Unified Security and Risk Analytics platform designed to provide actionable risk intelligence, according to the vendor. Leveraging machine learning models and data science, GRA aims to assist security analysts in effectively identifying and responding to threats, reducing false positives, and enhancing overall security operations. The product is positioned as suitable for organizations of all sizes, from small businesses to large enterprises, and is utilized by security analysts, IT professionals, risk managers, Security Operations Centers (SOC), and the financial services industry.

Key Features

Gurucul STUDIOTM: According to the vendor, this feature offers security analysts a library of prepackaged transparent machine learning models and the ability to build their own. It provides flexibility and customization options for organizations to tailor the analytics to their specific needs.

Enterprise Risk Engine: GRA's Enterprise Risk Engine drives risk-based security controls and allows organizations to define risk according to their parameters, as claimed by the vendor. It aims to help prioritize security incidents based on risk levels and align security measures with the organization's risk appetite.

Alerting & Case Management: GRA provides comprehensive case management capabilities for efficient incident response, according to the vendor. It allows security analysts to manage and track security incidents in a centralized platform, with automated alerting techniques to ensure timely response to potential threats.

Dashboards & Reporting: This feature offers widget-driven configurable dashboards for security operations, audit, and compliance, as stated by the vendor. Organizations can customize these dashboards to gain real-time visibility into security events and metrics, track key performance indicators (KPIs), and monitor their security posture. It also provides reporting capabilities for compliance and audit purposes.

Gurucul MinerTM: GRA's Gurucul MinerTM feature enables security analysts to perform contextual searches using natural language queries, as claimed by the vendor. It aims to expedite investigation processes by quickly retrieving relevant information and provides advanced data enrichment capabilities for deeper analysis.

Risk-Response Workflow: The vendor states that GRA automates the risk response process, enabling organizations to define and implement automated actions based on risk levels. This feature aims to help reduce response time and mitigate potential risks.

Leverage multiple out-of-the-box analytics and machine learning models: According to the vendor, GRA offers a wide range of prepackaged analytics and machine learning models. This allows organizations to monitor and detect known, unknown, new, and emerging threats without relying solely on vendor updates, potentially helping organizations stay ahead of evolving threats.

Automate the correlation, identification, and prioritization of threat activity: GRA automates the correlation and identification of threat activity, according to the vendor. This feature aims to help organizations prioritize threats based on their potential impact and streamline incident response processes by automating the initial stages of threat investigation, enabling faster and more effective response to potential threats.

Model good behavior to expose unknown bad behavior: According to the vendor, GRA analyzes user behavior using peer groups, clustering, and outlier detection techniques to identify unknown bad behavior. This feature aims to help organizations detect insider threats and other abnormal user activities, providing insights into user behavior patterns for proactive threat detection.

Analyze access and its abuse with identity-centric behavior analytics: GRA analyzes user access and identifies potential abuse, according to the vendor. It offers identity-centric behavior analytics for comprehensive user monitoring, aiming to help organizations detect unauthorized access and potential misuse of privileges, enabling them to identify and mitigate insider threats.