Overview

Gurucul’s Next-Gen SIEM is cloud-native, built for speed and helps to modernize security operations by delivering ultra-high-fidelity detection and automated response with the vital addition of Identity Threat Detection and Response (ITDR). There’s nothing like it on the market today. It leverages over 2,500 open and customizable Machine Learning Models powered by data science to produce actionable risk intelligence. It doesn’t rely on signatures, rules, or patterns. It allows organizations to identify zero-day threats in real time and is designed to provide both contextual and situational awareness to detect and stop malicious behavior before cyber criminals or rogue insiders can do harm. The addition of identity and access based threat detection to its robust TDR capabilities powered by advanced ML models, positions Gurucul to provide innovative solutions that address the ever-changing SOC needs. In fact, Gurucul was positioned furthest to the right as a Visionary Leader in the 2022 Gartner Magic Quadrant for SIEM. In addition, Gurucul ranked in the Top 3 for all SIEM Use Cases in the 2022 Gartner Critical Capabilities for SIEM.

Gurucul’s Next-Gen SIEM includes key features including a cutting-edge lightweight SaaS architecture with cloud elasticity and predictable costs, real-time threat detection, the industry’s most advanced data science powered ML behavior analytics, and the market’s largest most diverse security content library. Furthermore, its advanced and intuitive UX provides contextual investigation and intelligent timeline views and risk-based responses. This protects existing IT investments, eliminates data duplication, and reduces storage fees. Customers can simply layer Gurucul’s advanced security analytics engine on top of their existing or new Hadoop, Cloudera, Hortonworks, MapR and Elastic/ELK deployments.

Finally, Gurucul’s SIEM is built to scale with many customers that have over 250,000 employees. One health insurance customer uses Gurucul to analyze 8 million identities and 500 big data nodes.