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Managing Elastic Security Detection Rules with Terraform

Elastic Security has introduced new Terraform resources that allow practitioners to manage detection rules and exceptions as code. This integration enables security teams to define, deploy, and version-control their detection logic alongside their cloud infrastructure, enhancing visibility and consistency. The article demonstrates how to use these resources to detect suspicious Windows service account activities and highlights how Elastic's AI Agent can accelerate the creation of HashiCorp Configuration Language (HCL) snippets.

The post also provides a detailed comparison between the Elastic Stack Terraform provider and the specialized detection-rules repository. While detection engineers might prefer the purpose-built validation and authoring tools of the repository, DevOps and platform teams benefit from Terraform's state management and unified control plane. These updates support a robust detection-as-code lifecycle, providing automated deployment and drift detection for modern security operations.


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