Overview

Gurucul Cloud Security Monitoring is a cloud-native security analytics solution — part of the Gurucul REVEAL platform — designed to deliver unified visibility across hybrid and multi-cloud environments. It consolidates data from diverse sources, applies AI-enhanced analytics and over 3,000 machine learning models, and surfaces prioritized cloud-specific risks such as misconfigurations, data leakage, IAM anomalies, and campaign-based threats. Deployable as a full SaaS or hybrid architecture, it enables scalable, compliant monitoring tailored to organizational data sovereignty needs.

Features and Capabilities

• Scalable Data Ingestion: Normalizes and manages massive volumes across cloud and non-cloud sources for a unified environment view.
• AI-Enhanced Federated Search: Enables analysts to query any data lake or storage system to uncover stealthy threats.
• 3,000+ Machine Learning Models: Detects cross-cloud, targeted campaigns and minimizes false positives.
• Risk-Based Prioritization: Chains behavioral anomalies and cloud-op context to prioritize risks like weak access, misconfigurations, and data exfiltration.
• Flexible Deployment & Data Masking: Supports decentralized, open deployments with data protection and residency compliance.
• Identity & Access Monitoring: Detects orphaned accounts, improper provisioning, and high‑risk access patterns across cloud identities.
• Powered by REVEAL Platform: Integral to a broader suite with SIEM, UEBA, Open XDR, SOAR, Identity Analytics, and Data Optimization.
• Modular Architecture: Integrates SIEM, UEBA, SOAR, Identity, XDR in one pane, facilitating automated responses and agentic AI.
• Compliance & Threat Content: Built-in threat models aligned with MITRE ATT&CK, with curated content for multi-cloud TDIR.
• Cost-Efficient Licensing: User/entity‑based pricing with scalable data ingestion and predictable costs across clouds.