Elastic has announced the general availability of its Detections as Code (DaC) features within the detection-rules repository. This methodology applies software development best practices—including version control, automated testing, and peer review—to the lifecycle of security detection rules. By treating rules as code, security teams can automate deployments, ensure consistency across multiple environments, and maintain a higher quality of detections through standardized validation processes.
The latest updates introduce significant technical flexibility, such as advanced filtering for rule exports, support for custom folder structures, and enhanced integration with Terraform and GitLab CI/CD pipelines. Key highlights include automated schema generation for custom data types and the ability to implement custom unit tests using Python's pytest framework. These tools allow organizations to sync rules between version control systems and Elastic Security while maintaining strict change management and performance standards.
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