From endpoint to XDR: Operationalize CrowdStrike data in Elastic Security

Many security teams struggle with threat detection and response due to disjointed visibility and isolated endpoint data, leading to the development of extended detection and response (XDR). XDR integrates endpoint insights with contextualized data from various sources, providing a comprehensive approach to threat detection and response. Elastic Security offers AI-driven security analytics, delivering unified threat detection, investigation, and response without requiring another XDR tool. Elastic Security integrates with CrowdStrike to operationalize its data alongside signals from network, identity, and cloud sources, offering a complete threat picture. By ingesting CrowdStrike telemetry into Elastic Security, organizations can gain deeper visibility and take decisive security actions with advanced analytics, AI-driven assistance, and robust response capabilities. Elastic Security ingests and normalizes data from hundreds of sources, providing a unified view of threats, and its open, scalable ecosystem ensures defenders can correlate CrowdStrike alerts with other data sources. The Elastic AI Assistant recommends remediation steps based on alert details and historical responses to similar threats, ensuring security teams can take effective actions without delays. Elastic Security also enables bidirectional response actions for CrowdStrike endpoints directly within the Elastic interface, reducing attacker dwell time and accelerating containment. Additionally, Elastic Security provides cost-effective long-term data retention and storage, as well as advanced analytics, enabling proactive threat hunting, anomaly detection, and real-time security insights. By centralizing CrowdStrike data in Elastic Security, organizations can move beyond short-term incident response to a strategic, long-term approach to security data management.