Platform Overview
Gurucul’s Cloud-Native Security Analytics and Operations Platform is a unified solution that integrates Next Generation SIEM, Open XDR, UEBA (User and Entity Behavior Analytics), and Identity Analytics. This platform is built on a foundation of advanced analytics, leveraging over 3,000 machine learning models and behavioral analytics to predict, prevent, and detect breaches.
Key Features and Functionality
Advanced Threat Detection
The platform uses trained and adaptive machine learning models to detect high-priority, malicious attack campaigns. It automatically collects, correlates, enriches, and stores data from various sources including applications, platforms, networks, and threat intelligence. This comprehensive data set is then analyzed using behavior analytics models to identify and prioritize threats.
Risk-Driven Approach
Gurucul employs an enterprise-class risk engine that assigns risk scores to users and entities based on detected anomalies. This risk-based approach helps analysts prioritize incidents for investigation, significantly reducing the workload and improving the accuracy of threat detection.
Integration Capabilities
The platform integrates seamlessly with other security solutions such as Zscaler Security Service Edge (SSE), Zscaler Cloud Sandbox, and Zscaler Cloud Firewall. These integrations enhance threat detection by providing additional contextual information, tracking data flows, and verifying transactions against reputation lists.
Multi-Cloud and Hybrid Support
Gurucul’s platform supports complex deployments across on-premise, hybrid, and cloud environments (including SaaS, private cloud, GovCloud, and multi-cloud with multi-tenancy). This flexibility addresses the needs of modern enterprises and managed detection and response (MDR) providers.
Automated Data Pipeline and Analytics
The platform features an Automated Data Interpretation Engine that ingests structured and unstructured data from any source. It also includes Gurucul STUDIOTM, which offers fully customizable analytics with transparent machine learning models to accommodate custom use cases.
Threat Intelligence and Content
Gurucul’s platform is backed by a large library of threat models, MITRE ATT&CK coverage, and curated threat intelligence powered by Gurucul Threat LabsTM. This extensive threat intelligence helps in early and rapid detection of threats.
Identity-Centric Security
The platform focuses on securing identities across enterprise and multi-cloud environments, reducing the identity and access threat plane. It provides automated threat detection early in the kill chain, ensuring robust protection against identity-related threats.
Security Orchestration, Automation, and Response (SOAR)
Gurucul’s Next-Gen SIEM includes SOAR capabilities that automate the identification, analysis, and elimination of true threats based on risk levels. The platform offers a vast library of customizable playbooks that integrate with IT systems and processes, reducing Mean Time to Detect (MTTD) and Mean Time to Respond (MTTR).
Cost Optimization and Efficiency
The platform is designed to be cost-effective, with a native Data Optimizer that filters, normalizes, enriches, and routes data, potentially reducing costs by up to 87% compared to traditional SIEM solutions. It also improves analyst efficiency by automating manual tasks and providing greater context for investigations.
In summary, Gurucul’s Security Analytics and Operations Platform is a powerful, cloud-native solution that leverages advanced analytics, machine learning, and risk-driven approaches to enhance threat detection, investigation, and response capabilities, making it a robust tool for modern security operations.