Christine Le and Christopher Camacho from Datadog discuss the benefits of Detection as Code (DaC) methodology, which treats threat detection logic and security operations processes as code. They address pain points associated with traditional security operations, such as version control, consistency of review and approval, maintenance at scale, and more. The authors describe how they implement DaC using Datadog's Cloud SIEM, Application Security Management (ASM), and Cloud Security Management (CSM) products, leveraging software engineering best practices to manage detection rules and response runbooks. They outline their repository structure, CI/CD pipeline, and detection development flow, showcasing how these components work together to simplify and centralize detection rule creation. The authors conclude by highlighting the key benefits of DaC and encouraging readers to adopt this approach for creating effective security detections at scale.