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Detection Rules is the home for rules used by Elastic Security. This repository is used for the development, maintenance, testing, validation, and release of rules for Elastic Security’s Detection Engine. This repository was first announced on Elastic's blog post, Elastic Security opens public detection rules repo. For additional content, see the accompanying webinar, Elastic Security: Introducing the public repository for detection rules. Table of Contents - Overview of this repository - Getting started - How to contribute - Licensing - Questions? Problems? Suggestions? Detection Rules contains more than just static rule files. This repository also contains code for unit testing in Python and integrating with the Detection Engine in Kibana. - detection_rules/ Python module for rule parsing, validating and packaging - etc/ Miscellaneous files, such as ECS and Beats schemas - kibana/ Python library for handling the API calls to Kibana and the Detection Engine - kql/ Python library for parsing and validating Kibana Query Language - rta/ Red Team Automation code used to emulate attacker techniques, used for red teaming exercises.
Common questions about Detection Rules including features, pricing, alternatives, and user reviews.
Detection Rules is Home for rules used by Elastic Security with code for unit testing, Kibana integration, and Red Team Automation.. It is a Security Operations solution designed to help security teams with Detection Rules.
Detection-as-code platform for managing detection rules across SIEM/EDR/XDR
IDE for detection engineering with cross-platform translation for 65+ SIEM/EDR/XDR
Federated security analytics mesh for unified detection across SIEMs & data lakes.
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