Elastic announced the launch and general availability of the industry’s first free and open Limitless Extended Detection and Response (XDR). Part of Elastic Security, Elastic Limitless XDR modernizes security operations by unifying the capabilities of security information and event management (SIEM), security analytics, and endpoint security. Elastic Limitless XDR is anchored in SIEM and enriched by a single agent for endpoint security to eliminate data silos, reduce alert fatigue, and arm practitioners to stop threats at cloud scale. Built into a single platform, Elastic Limitless XDR extends visibility across any environment to prevent, detect, and respond to threats and eliminate blind spots, everywhere. Elastic Limitless XDR powers centralized analytics on years’ worth of data, automates key processes, and brings native endpoint security to every host. Elastic Limitless XDR stops threats at cloud scale on a single platform by: Block malware and ransomware, perform collection and inspection, detect and take responsive actions on the endpoint, and support DevSecOps and observability use cases by collecting application traces through a single agent. Accelerate security operations with automated hunting and investigation workflows, built-in case management, and hundreds of one-click integrations created by Elastic and its global user community. Deploy on premises, in the cloud, or hybrid. Ingest and prepare data from across any environment and search it in milliseconds to seconds with the frozen data tier, powered by searchable snapshots, on low-cost object stores such as Amazon S3, Google Cloud Storage, and Microsoft Azure Storage. Efficiently retain years of actionable telemetry to uncover long-dwelling threats and markers of newly discovered exploits. Uniformly analyze information stored across multiple clouds without the delay and expense of backhauling data. Automate threat detection with rules built by Elastic and community security researchers and shared on a public detection rules repository. Uncover security-relevant anomalies with prebuilt machine learning jobs. Aggregate results, prioritize, and investigate across multi-cloud environments.