Gurucul SentinelOne Technology Alliance

The Gurucul Security Analytics Platform drives high-efficacy threat detection and automated response with machine learning-based behavior analytics. The following integrations with SentinelOne are focused on detecting risky anomalous behavior before a malicious actor can do harm:

• ML-based models for detecting anomalous user and device behavior (severity, volume-based, repeated risk devices, out-of-context user behavior, unusual sites in context to use and peer behavior, etc.)
• Provide enriched context, along with other event sources, to detect compromised hosts, in-memory malicious processes, and unusual or unknown software, etc.
• Attain a 360-degree view of users, permissions, devices, software, etc.
• Alert-prioritization using risk-scoring
• Threat intelligence enrichment
• Monitor container security and cloud workloads

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