Next-Gen SIEM

Description

Gurucul's Next-Gen SIEM leverages AI and machine learning to optimize threat detection, investigation, and response. It provides behavioral-based analytics, federated search, and autonomous SOC operations to reduce false positives and improve efficiency.

Key Differentiators

• Agentic AI for autonomous SOC operations
• 70% fewer false positives with behavioral analytics
• Modular architecture with data independence
• Reduced SIEM data costs by 40%
• Investigation times reduced by 58% and MTTR by 83%

Features

• Behavioral-based threat detection using ML models
• Agentic AI for triage, investigation, and response
• Federated search across hybrid and multi-cloud environments
• Continuous governance and audit-ready compliance
• Modular architecture for flexibility and scalability

Use Cases

• Detect lateral movement in hybrid cloud environments
• Automate triage and escalation with AI SOC Analyst
• Neutralize identity-based attacks and compromised accounts
• Optimize threat detection and response in multi-cloud architectures
• Reduce SIEM data volume and storage costs

Pricing

Deployment & Platforms

Integrations

Compliance

Target Market

Contacts