Detection Development Lifecycle. Snowflake’s implementation of the… | by Haider Dost | Snowflake Builders Blog: Data Engineers, App Developers, AI/ML, & Data Science | Medium

This post highlights Snowflake’s implementation of the Detection Development Lifecycle, which is a well-defined process to produce and maintain threat detections. Our lifecycle is broken down into the six phases: Requirements Gathering, Design, Development, Testing and Deployment, Monitoring, and Continuous Testing. Establishing a well-defined Detection Development Lifecycle enhances the quality detections built, provides robust documentation, helps with scaling the team, and serves as the foundation for program metrics. What is the Detection Development Lifecycle? Software engineers follow the Software Development Lifecycle (SDLC) in order to build successful applications, but what about detection engineers? Security teams tasked with spotting and stopping threat actors should carefully consider how they build and maintain detection logic. Otherwise, detections will suffer from low fidelity, false positives will cause alert fatigue and more attacks will go undetected until after the b

This post highlights Snowflake’s implementation of the Detection Development Lifecycle, which is a well-defined process to produce and maintain threat detections. Our lifecycle is broken down into the six phases: Requirements Gathering, Design, Development, Testing and Deployment, Monitoring, and Continuous Testing. Establishing a well-defined Detection Development Lifecycle enhances the quality detections built, provides robust documentation, helps with scaling the team, and serves as the foundation for program metrics. What is the Detection Development Lifecycle? Software engineers follow th