Summary
This blog post explores automating cybersecurity threat detection through GitLab CI/CD by implementing Detections as Code (DaC). It discusses the challenges of manual detection engineering and introduces an automated workflow that enhances security, consistency, and collaboration among teams. Key components include threat detection stored in JSON format, automated validation in the CI/CD pipeline, and a peer review process to ensure quality standards. The article provides insights into the benefits of this automation, encouraging other organizations to enhance their security measures efficiently.