From endpoint to XDR: Operationalize SentinelOne data in Elastic Security

SentinelOne provides insightful endpoint telemetry, but combining it with Elastic Security takes its effectiveness to another level.

By integrating SentinelOne data into Elastic Security, organizations can transform endpoint data into part of a broader XDR strategy. This unification provides a single pane of glass where endpoint alerts sit alongside log data from networks, clouds, identity systems, and more. The result is centralized visibility across your entire attack surface, making it easier to spot complex, multi-stage attacks that might be missed if analysis remains siloed on the endpoint alone.

With all security events aggregated in Elastic, defenders can apply advanced analytics uniformly. Elastic’s detection engine can run prebuilt correlation rules and machine learning jobs on SentinelOne events just as it would on Elastic Security’s native endpoint data. Notably, Elastic’s own library of endpoint detection rules is compatible with SentinelOne’s Cloud Funnel data, meaning teams can immediately leverage Elastic’s curated ruleset on incoming SentinelOne alerts for an added layer of defense.

Learn more about SentinelOne integrations: SentinelOne and SentinelOne_CloudFunnel

Ingesting SentinelOne Cloud Funnel data into Elastic Security provides the ability to activate Elastic’s extensive library of prebuilt detection rules, behavior analytics, and machine learning models. Security teams don’t need to build their own analytics from scratch — Elastic provides out-of-the-box coverage against a wide range of threats.

Elastic’s machine learning jobs can detect anomalies in SentinelOne telemetry, identifying suspicious behaviors even when traditional rule-based detections fall short. Analysts can also create custom rules tailored to their organization’s unique environment, ensuring SentinelOne alerts are enriched with additional security context. By leveraging Elastic’s open, extensible data model, security teams can apply unified detections across endpoints, networks, cloud workloads, and identity systems, enabling true cross-domain threat detection.

Elastic AI Assistant is a transformative addition to the SOC toolkit, bringing generative AI directly into the analyst workflow. When SentinelOne data streams into Elastic, AI Assistant can dramatically speed up an analyst’s understanding and response by providing context, explanations, and recommendations in natural language.

Alert explainability
Elastic AI Assistant helps with alert triaging; it can parse and summarize SentinelOne alerts to clarify why an alert was triggered and its meaning. For instance, if SentinelOne generates an alert about a malicious process being executed in multiple endpoints, an analyst can ask the Assistant, “What is this alert telling me?” The Assistant might respond with a breakdown like the one below:

Investigating isolated alerts can lead to missing larger attack campaigns. Elastic Attack Discovery automatically correlates SentinelOne alerts with other security signals like cloud, network, and identity to reveal the bigger picture by using AI-driven security analytics and built-in threat intelligence. Instead of triaging one alert at a time, SOC analysts can get a clear, contextualized attack story mapped to MITRE ATT&CK tactics and techniques. This reduces the manual alert analysis effort and allows for a faster response with greater confidence. 

For instance, using the previous ransomware example, Attack Discovery can assist an analyst in identifying the root cause of the incident by leveraging SentinelOne data but also network and identity events.

Many organizations operate in hybrid environments where tools like SentinelOne are deployed on some endpoints but not all. Elastic Security provides a unified approach by allowing teams to deploy Elastic Defend on endpoints not covered by SentinelOne. This ensures consistent security monitoring, regardless of endpoint coverage, and enables defenders to analyze all endpoint telemetry within the same workflow.

By layering Elastic Defend with SentinelOne, security teams achieve full-spectrum endpoint protection while maintaining a single investigation and response platform. Whether ingesting SentinelOne alerts or collecting data from Elastic Defend agents, analysts can apply the same detection rules, correlation logic, and automated workflows, simplifying security operations across diverse environments.

Integrating SentinelOne endpoint data into Elastic Security yields a more powerful and cohesive security operation. The combination enables SOC teams to see the full picture of attacks, investigate incidents with AI assistance and automated correlation, and respond quickly from a single interface. Endpoint data alone is not enough; attackers pivot across endpoints, networks, and cloud services. A unified platform approach helps defenders even the odds by breaking down data silos and adding analytical muscle to endpoint telemetry. 

For SOC leaders, this integration means the investment in endpoint security can go further: faster incident response, richer investigations, and the peace of mind that comes from having years of security data at your fingertips. Leveraging Elastic’s open, scalable ecosystem alongside SentinelOne’s endpoint capabilities, security teams can accelerate their threat detection and response workflows and stay ahead of adversaries in an ever-evolving threat landscape.

Start your free trial of Elastic Security today and experience the benefits of integrating your SentinelOne endpoint data with Elastic Security. Gain deeper visibility, enhance threat detection capabilities, and improve your team's ability to respond to threats before they escalate.

The release and timing of any features or functionality described in this post remain at Elastic's sole discretion. Any features or functionality not currently available may not be delivered on time or at all.

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