Elastic Security
Free and open SIEM with detection rules, endpoint security, and threat hunting.
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Use it free
Open the official tool or demo — no account needed.
Self-host it
Run the open-source version on your own infrastructure.
What is Elastic Security?
Elastic Security is an open-source platform designed to streamline security operations by eliminating traditional industry barriers like per-device fees, siloed tools, and proprietary AI. It serves as an agentic security operations center, enabling teams to detect, analyze, and respond to threats at machine speed. The tool is used by enterprises and security teams seeking to unify endpoint, network, and application security under a single integrated system. It solves the problem of fragmented security infrastructure by providing a unified platform that reduces operational costs and improves threat detection through automation and data integration. Elastic Security is particularly valuable for organizations struggling with legacy SIEM systems, high false-positive rates, or complex threat landscapes requiring real-time analysis.
How it works
Elastic Security is a unified security operations platform built on the Elastic Stack, combining SIEM (Security Information and Event Management), XDR (Extended Detection and Response), and SOAR (Security Orchestration, Automation, and Response) capabilities. It replaces fragmented security tools with a single solution that centralizes data collection, analysis, and response workflows. The platform's primary purpose is to modernize security operations by removing financial and technical barriers. It eliminates per-device licensing fees, integrates data from diverse sources, and provides native automation to reduce manual intervention in threat response. Elastic Security offers threat detection through customizable rules and machine learning models, supported by the open-source detection-rules repository on GitHub. It integrates with endpoints, networks, and cloud environments to provide comprehensive visibility. Native automation capabilities replace separate SOAR tools, enabling workflows like incident triage and remediation without additional licensing.
How to use it
- 1Deploy Elasticsearch and Kibana to centralize data collection. 2. Integrate endpoint, network, and application data sources using the Elastic Agent. 3. Configure detection rules from the GitHub repository to tailor threat identification. 4. Automate response workflows through built-in SOAR capabilities without separate tools. Practical tips: Start with the free trial to test integration with existing infrastructure. Use the detection-rules repository to customize alerts for your environment. Leverage Kibana's analytics dashboard for real-time threat visualization.
What it can do
- SIEM and threat hunting
Use cases
Assumptions and limitations
Assumptions
- source: https://github.com/elastic/detection-rules
- license: Elastic-2.0 — free to use
- privacy: Self-hosted — you control your data
Limitations
- For authorized use only — use on systems you own or have explicit permission to test.
- Requires significant expertise in Elasticsearch for advanced analytics
- Data ingestion performance depends on infrastructure scaling
- Limited out-of-the-box integration with niche security tools
- Customization of detection rules demands development effort
Understanding the result
Free and open SIEM with detection rules, endpoint security, and threat hunting.
Tool details
- Clearly flagged when a network request is needed.
- No account, no sign-up, and no tracking of your content.
- Powered by (MIT).
- Built with
- (elastic/detection-rules)
- License
- MIT
- Runs locally
- No — requires a network request
- Verification
- Not yet verified
- Input
- Query
- Output
- Text
Built with elastic/detection-rules. OpenToolVault provides the discovery and browser interface while crediting the original project maintainers.
- Built with
- License
- MIT
Open-source project
OpenToolVault is an independent directory. We are not affiliated with or endorsed by this project.
References
- / — GitHub Repository
Upstream project · GitHub
- Elastic-2.0 License
Upstream project
Frequently asked
What is Elastic Security's primary use case?
Elastic Security is primarily used for unified threat detection and response, combining SIEM, XDR, and SOAR capabilities. It is ideal for organizations needing to centralize security operations, reduce false positives, and automate incident response across endpoints, networks, and cloud environments.
How does Elastic Security handle machine learning for threat detection?
Elastic Security uses machine learning models to identify anomalies in network traffic, user behavior, and endpoint activity. These models are trained on historical data and can be customized via the detection-rules repository. The platform also supports rule-based detection for specific threats, combining both approaches for comprehensive coverage.
How do I configure custom detection rules?
To configure custom detection rules, clone the elastic/detection-rules GitHub repository, modify the YAML files for your environment, and upload them to the Elastic Security platform. Use the Kibana interface to test rules in a sandbox environment before deploying them to production.
How does Elastic Security compare to Splunk or IBM QRadar?
Elastic Security differs from Splunk and IBM QRadar by integrating SIEM, XDR, and SOAR into a single platform with open-source flexibility. Unlike Splunk's proprietary architecture, Elastic Security uses the open Elasticsearch stack for scalable data processing. Compared to IBM QRadar, it offers lower licensing costs and native automation without separate SOAR tools.
What should I do if data ingestion fails?
Data ingestion failures in Elastic Security are often caused by misconfigured data sources or resource constraints. Check the Elastic Agent logs for errors, verify network connectivity to data sources, and ensure sufficient CPU/memory allocation. If using the cloud, review Elasticsearch cluster health and adjust shard settings if necessary.