The text discusses how security teams can effectively manage detection rules using Datadog Cloud SIEM by implementing "detection as code," which allows them to automate and streamline workflows. This approach, supported by infrastructure-as-code tools like Terraform, helps automate rule management, minimize errors, and integrate with CI/CD pipelines, enhancing the consistency and speed of deployments. Key practices include validating rule formats with linting, testing detection logic using mock and historical data, and converting detection rules to Terraform for standardized deployments. Datadog provides options for deploying rules via API or Terraform, enabling fast, repeatable deployments while tracking changes with rule versioning to maintain visibility over modifications. By enabling large teams to manage detection rules efficiently, Datadog's approach ensures that security measures can keep up with evolving threats in dynamic environments, thus supporting security teams in reducing errors and maintaining clarity in detection strategies.