Gurucul

Gurucul’s SIEM centralizes log ingestion, normalization, behavioral analytics, and compliance reporting in a cloud-native platform. Its main differentiator is risk-based detection content built from large machine-learning model sets, which helps SOC teams reduce alert noise and prioritize investigations. It fits organizations that want SIEM with long-term retention and custom detection engineering.

• Organizations with mature security operations that need to integrate advanced behavioral analytics and risk-based prioritization into their SIEM.
• Security monitoring and threat detection.
• Insider threat detection and fraud analytics.
• Compliance reporting and log retention.
• Identity threat detection and response.