From endpoint to XDR: Operationalize CrowdStrike data in Elastic Security

Organizations can combine CrowdStrike's deep endpoint telemetry with Elastic Security to create a stronger XDR strategy. By integrating CrowdStrike data from sources like Falcon SIEM Connector, CrowdStrike Event Stream, and Falcon Data Replicator, security teams can ingest endpoint alerts, event telemetry, process execution data, and forensic artifacts directly into Elastic Security. Beyond endpoint telemetry, Elastic’s CrowdStrike integration supports additional capabilities, including vulnerability data and threat intelligence. This enables security teams to enrich investigations with contextual data such as asset vulnerability details, exploitability insights, and intelligence on known adversaries.

By normalizing all this data to Elastic Common Schema (ECS), analysts gain a cohesive view of threats and can apply uniform detection, correlation, and response workflows across different domains. This integration transforms CrowdStrike from an isolated EDR tool into part of a full-scale, cross-domain detection and response strategy.

Moreover, Elastic Security's detection engine can run prebuilt correlation rules and machine learning jobs on CrowdStrike events just as it would on native Elastic Security endpoint data, allowing defenders to apply advanced analytics uniformly to all security events in Elastic. Teams can immediately leverage Elastic Security’s curated ruleset on incoming CrowdStrike alerts for an added layer of defense, as Elastic’s own library of endpoint detection rules is compatible with CrowdStrike Falcon data.

Elastic Security provides a wide range of prebuilt detection rules, behavior analytics, and machine learning models, allowing Security teams to quickly leverage their CrowdStrike data without needing to build their own analytics from scratch.

Elastic's machine learning jobs can detect anomalies in CrowdStrike telemetry and identify suspicious behaviors that traditional rule-based detections may miss. Analysts can create custom rules specific to their organization's environment to enrich CrowdStrike alerts with additional security context. Using Elastic's open, extensible data model allows security teams to apply unified detections across endpoints, networks, cloud workloads, and identity systems enabling true cross-domain threat detection.

Elastic AI Assistant enhances security investigations by integrating generative AI directly into the analyst workflow. When CrowdStrike data is ingested into Elastic Security, the AI Assistant accelerates understanding and response by offering contextual insights, explanations, and recommended actions.

Alert explainability and remediation suggestions
Elastic AI Assistant for Security can analyze and summarize CrowdStrike alerts to explain why an alert was triggered and what it means. This assists security analysts with alert triage. For example, when a CrowdStrike alert is triggered, analysts can ask the AI Assistant, “What is this alert telling me?” The assistant provides a breakdown, such as the figure shown below. This immediate context helps analysts quickly understand threats without needing to pivot to external sources.

Elastic Security’s Attack Discovery leverages AI-driven analytics to correlate CrowdStrike alerts with signals from other security domains, such as cloud, network, and identity data. Instead of analyzing alerts in isolation, analysts can see the full attack chain mapped to MITRE ATT&CK tactics and techniques. This reduces manual effort in alert triage and enables faster, more confident responses.

For instance, an analyst investigating a potential credential theft alert from CrowdStrike may find that Attack Discovery is able to link it to suspicious lateral movement attempts observed in network logs. This broader attack context allows defenders to respond proactively and mitigate threats before they escalate.

In hybrid environments, many organizations have deployed CrowdStrike only on some endpoints. Elastic Security provides a unified approach by allowing teams to deploy Elastic Defend on endpoints not covered by CrowdStrike. This ensures consistent security monitoring, regardless of endpoint coverage, and enables defenders to analyze all endpoint telemetry within the same workflow.

Elastic Defend and CrowdStrike together provide comprehensive endpoint protection, while allowing security teams to investigate and respond using a single platform.  Analysts can use the same detection rules, correlation logic, and automated workflows to simplify security operations in diverse environments, regardless of whether they are ingesting CrowdStrike alerts or collecting data from Elastic Defend agents.

Elastic Security and CrowdStrike endpoint data integration creates a powerful, unified security operation. This allows SOC teams to gain complete attack visibility, investigate incidents with AI-assisted correlation, and respond rapidly from a single interface. Since attackers move across endpoints, networks, and cloud services, endpoint data alone is insufficient. A unified platform approach breaks down data silos and adds analytical depth to endpoint telemetry. 

For SOC leaders, this integration maximizes endpoint security investments by providing faster incident response, richer investigations, and long-term security insights. By leveraging Elastic’s open, scalable ecosystem and CrowdStrike’s endpoint strengths, security teams can accelerate threat detection and response workflows, staying ahead of adversaries in an ever-changing threat landscape.

Start your free trial of Elastic Security today and experience the benefits of integrating your CrowdStrike endpoint data with Elastic Security. Enhance defenses and improve threat response by accelerating threat detection, investigation, and remediation.

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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