Open-source SIEM and XDR built on the Elastic Stack — combining threat detection, endpoint protection, and cloud security in one unified platform.
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Elastic Security unifies SIEM, endpoint security (XDR), and cloud security posture management into one platform built on the Elastic Stack — Elasticsearch for data indexing and search, Kibana for visualization, and Beats/Elastic Agent for data collection.
The open-source foundation is a significant differentiator. Organizations can self-host Elastic Security at no license cost (infrastructure costs apply), run it in Elastic Cloud on a consumption basis, or deploy it through marketplace offerings in AWS, GCP, and Azure. The detection rules library is open-source and maintained on GitHub, with contributions from the community and Elastic's threat research team.
Elastic Security's detection engine uses EQL (Event Query Language) for event correlation — a structured, time-aware query language designed for behavioral threat detection. Prebuilt rules cover MITRE ATT&CK techniques, and organizations can write custom EQL rules or import Sigma rules. The machine learning anomaly detection jobs, available on subscriptions, identify unusual patterns in user behavior, network traffic, and system activity.
The Elastic Agent provides endpoint protection capabilities: malware prevention, behavioral detection, memory threat scanning, and ransomware protection — effectively delivering XDR from the same platform as the SIEM. Cloud security adds posture management for AWS, GCP, and Azure workloads.
Elastic Security is best for security teams with engineering resources who want the flexibility of open-source and the ability to contribute custom detections, rather than organizations looking for a fully managed, out-of-the-box SIEM experience.
Procurement checklist for Elastic Security: confirm the current pricing and plan limits on the official pricing page, then validate the feature tier against your team size, data-retention needs, integration requirements, and support expectations. For SIEM & Monitoring buyers considering Elastic Security, the practical questions are whether the product fits the current workflow, whether administrators can configure it without heavy consulting, and whether the vendor's documentation supports the claims used in this review. If Elastic Security will handle regulated or customer-sensitive data, review its data-processing agreement, security documentation, access controls, and export options before committing. Use the linked official sources and a trial or proof of concept for final validation of Elastic Security; do not treat this review as a private hands-on test claim.
A standardized buyer checklist for every product page, avoiding unsupported hands-on testing claims.
Important details to help you make the right choice
Best for security teams who want open-source SIEM flexibility with endpoint protection in one Elastic Stack deployment
Not for teams without Elasticsearch expertise — self-hosted deployment requires ongoing infrastructure management and ES tuning skills.
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Elastic Security is available at no cost for self-hosted deployments, as the core SIEM and XDR capabilities are open-source and built on the Elastic Stack. For organizations preferring a managed cloud experience, Elastic Cloud plans start from $95 per month. Advanced features such as machine learning anomaly detection and certain enterprise-grade security capabilities require a paid subscription.
Pricing source: Official pricing page — Last verified: 5/29/2026
Elastic Security is designed as a unified platform that combines SIEM, endpoint XDR, and cloud security posture management in a single solution. The platform enables security teams to detect, investigate, and respond to threats across endpoints, networks, and cloud environments — including AWS, GCP, and Azure. Its EQL-based detection engine maps directly to the MITRE ATT&CK framework, supporting structured behavioral threat hunting.
Elastic Security is best suited for mid-to-large enterprises and security operations centers (SOCs) that have in-house Elasticsearch expertise or dedicated DevSecOps resources. Organizations seeking an open-source alternative to commercial SIEM platforms will find particular value in Elastic's zero-license-cost self-hosted model. It is also a strong fit for teams that require deep customization of detection rules and want to contribute to or leverage a community-maintained rules library on GitHub.
Elastic Security uses the Elastic Agent as its unified data collection component, supporting deployment across endpoints, cloud workloads, and network infrastructure. The platform integrates with hundreds of data sources through pre-built integrations available in the Elastic Integrations catalog, covering cloud providers, third-party security tools, and operating systems. However, self-hosted deployments require significant operational expertise in managing and scaling Elasticsearch clusters, which can extend initial setup timelines for teams without prior experience.
The most significant limitation of Elastic Security is the operational overhead of managing self-hosted Elasticsearch clusters, which demands dedicated engineering resources and deep platform expertise. Additionally, advanced capabilities such as ML-driven anomaly detection and certain cloud security features are locked behind paid subscription tiers. Organizations looking for more turnkey managed SIEM solutions may consider alternatives such as Microsoft Sentinel, Splunk Enterprise Security, or IBM QRadar, depending on their existing infrastructure and budget.
