As the attack surface continues to expand, organizations need more capabilities, lower complexity, and fewer agents if they want to keep up with known and unknown threats. By ingesting SentinelOne activity log data into Exabeam to combine with other parts of your security stack, security teams gain increased visibility of threats impacting users and edge devices.
- Integrate user and device behavior analytics with end-to-end enterprise visibility to find threats in real time.
- Defeat high velocity threats with alert-based investigations powered by risk-prioritized user and endpoint behavior analysis.
- Employ Threat Timelines to automatically analyze all associated device and credential activity before, during, and after an attack.
What we do with SentinelOne
Exabeam ingests threat and incident data directly from SentinelOne in order to baseline normal behavior. Once anomalous behavior is detected, Exabeam can trigger an automated incident response for compromised endpoints using the SentinelOne API.

Customer Benefits
- Create a baseline for normal credential and device activity.
- Automatically collect and analyze endpoint data across a broad range of local and cloud assets.
- Reduce SOC analyst reaction time by prioritizing alerts and adding risk scores.
- Standardize the threat detection, investigation, and response actions with automation.
About SentinelOne
SentinelOne’s cybersecurity solution encompasses AI-powered prevention, detection, response and hunting across endpoints, containers, cloud workloads, and IoT devices in a single autonomous XDR platform.
Learn More About Exabeam
Learn about the Exabeam platform and expand your knowledge of information security with our collection of white papers, podcasts, webinars, and more.
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Five Reasons Security Operations Teams Augment Microsoft Sentinel With New-Scale Analytics
See Exabeam in Action
Request a demo to see how Exabeam helps security operations teams secure the agentic enterprise.
You’ll learn how to:
- Monitor and analyze human and agent behavior to uncover risk
- Investigate threats with machine-built timelines
- Use multi-agent AI to improve detection, investigation, and response workflows
- Apply playbooks to guide decisions
- Support compliance requirements
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