Gurucul XDR

Gurucul XDR is an Open Extended Detection and Response (XDR) solution designed to aid organizations of all sizes in real-time threat detection and response. According to the vendor, Gurucul XDR is utilized by Security Operations Centers (SOCs), IT Security Professionals, Cybersecurity Analysts, Network Administrators, and the Financial Services Industry. This comprehensive analytics platform offers automated threat detection, targeted threat response, and accelerated incident investigations, empowering businesses to enhance their security posture.

Intelligent, Telemetry-Based Analytics: According to the vendor, Gurucul XDR automatically ingests, correlates, and applies analytics to a wide range of telemetry, including cloud, IoT, identity, and structured and unstructured data. It leverages trained machine learning models that adapt over time to automate threat detection.

Accelerated Threat Detection: Gurucul XDR incorporates User and Entity Behavior Analytics (UEBA) and over 2500 customizable machine learning models to detect, predict, investigate, hunt, and remediate threats. The vendor asserts that it goes beyond individual threats to identify the complete scope of attack campaigns early in the threat chain.

Prioritized Investigations: The vendor states that Gurucul XDR automatically correlates and consolidates relevant telemetry, providing link event analysis and incident-level and campaign-level risk scoring. This prioritizes investigation efforts and offers high-level observability and drill-down threat hunting for analysts with varying experience levels.

Automated Incident Response: Gurucul XDR enables security staff to leverage automated response actions with risk-based triggers, orchestration playbooks, and automated incident timelines. According to the vendor, it creates intelligent links of the entire attack lifecycle for pre- and post-incident analysis, facilitating visualization of the complete threat chain.

Full Visibility Without Escalating Costs: According to the vendor, Gurucul XDR can be deployed in complex environments and consolidates data into a single console, providing comprehensive visibility without increasing costs. It standardizes any input, device, application, and source for security purposes, reducing storage requirements.

Depth of Analytics for Advanced Detection: Gurucul XDR dynamically adapts to new and emerging threats without relying on machine learning model updates from vendors. It offers a wide range of threat content, including open, customizable, and adaptive behavioral, multi-cloud, identity-access, and IoT analytics, with over 2600 analytical machine learning models.

Targeted Context and Risk Scoring for Triage and Prioritization: The vendor claims that Gurucul XDR delivers risk-driven prioritization, minimizing false positives and enhancing investigation time with improved context. It relieves senior analysts and reduces resource requirements by providing a high-level understanding of attack campaigns and the ability to drill down for more experienced hunters.

Confidence in Automated Eradication of Threats: According to the vendor, Gurucul XDR offers dynamic and targeted playbooks for automation, enabling risk scoring through an enterprise-class risk engine. It mitigates the entire threat campaign before it impacts the business, instilling confidence in automated eradication of threats.

Detecting Identity-Based Threats: Gurucul XDR employs advanced identity analytics to detect credential-based attacks and gain deeper insights into both internal and external threats, such as supply chain attacks, earlier in the threat chain. The vendor asserts that it goes beyond Active Directory information by establishing baselines, monitoring access privileges, entitlements, and peer comparisons.