Stop accepting visibility gaps as the "cost of cloud." Gurucul REVEAL is a cloud-native engine architected to federate analytics across globally dispersed, heterogeneous environments. By decoupling analytics from the storage layer, you can monitor complex infrastructure and detect multi-cloud attack campaigns in real-time.

Ingest all relevant security and non-security data to power the most robust ML threat detection models, provide context for investigations, and automate responses tailored to your process.

Proactively reduce your identity attack surface by correlating access rights with actual behavior. Gurucul REVEAL identifies over-privileged accounts, rogue credentials, and subtle lateral movement that standard correlation rules miss, neutralizing compromised identities before they reach your "Crown Jewels."

Static playbooks are too slow for modern adversaries. Gurucul REVEAL infuses Agentic AI across the threat lifecycle to automate triage, investigation, and escalation. Our Virtual AI SOC Analyst acts as a tireless team member, performing L1 evidence gathering at machine speed while providing transparent, "human-in-the-loop" feedback so your analysts maintain ultimate decision authority.

Give your security analysts the tools to spend time conducting meaningful investigations with a secure and native AI assistant and federated search across your entire data ecosystem.

Compliance shouldn't be a seasonal fire drill. Gurucul NG-SIEM facilitates continuous adherence to global mandates—including NIST 800-53, PCI DSS, and HIPAA—by mapping ML detections directly to regulatory frameworks. With a native data optimization that routes raw logs to low-cost cold storage while maintaining "Searchability," you fulfill retention requirements without bankrupting your security budget.