Elastic Detection Rules
A public repository for developing, testing, and maintaining detection rules for Elastic Security's SIEM, with tools for Detections as Code.
What is Elastic Detection Rules?
Detection Rules is a public repository and development toolkit for creating and managing security detection rules used by the Elastic SIEM. It provides a structured environment for security analysts and engineers to write, test, and maintain rules that identify threats and anomalies. The project includes tools for parsing, validating, and packaging rules, as well as integrating them with Kibana's Detection Engine.
Security engineers, SOC analysts, and threat detection teams using Elastic Security who need to develop, test, and maintain custom detection rules. It's also suited for organizations adopting a Detections-as-Code (DaC) approach to security automation.
It offers a complete, open-source framework for rule lifecycle management within the Elastic ecosystem, with built-in validation, testing, and Kibana integration. The Detections-as-Code methodology enables version control, collaboration, and automation, improving the reliability and maintainability of detection logic.
Overview
Detection Rules is the official repository for the rules used by Elastic Security's Detection Engine. It provides a comprehensive toolkit for security teams to develop, validate, test, and release detection logic in a structured, code-driven manner. This approach enables version control, automated testing, and streamlined integration with the Elastic SIEM.
Key Features
- Rule Development & Management — Python module for parsing, validating, and packaging detection rules from TOML files.
- Detections as Code (DaC) — Full pipeline and CLI tools to manage rules with version control and automated workflows.
- Unit Testing Framework — Integrated Python testing suite to validate rule logic and ensure reliability.
- Kibana Integration — Library for API calls to Kibana and the Detection Engine for seamless rule deployment.
- KQL Validation — Library for parsing and validating Kibana Query Language used in rule conditions.
- Threat Hunting Packages — Dedicated directory for storing and managing threat hunting queries and packages.
Philosophy
The project embraces a Detections-as-Code philosophy, treating security rules as software artifacts to improve maintainability, collaboration, and automation in threat detection.
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