EP149 Canned Detections: From Educational Samples to Production-Ready Code

Guests: John Stoner, Principal Security Strategist, Google Cloud Security Dave Herrald, Head of Adopt Engineering, Google Cloud Security Topics: In your experience, past and present, what would make clients trust vendor detection content? Regarding "canned", default or "out-of-the-box" detections, how to make them more production quality and not merely educational samples to learn from? What is more important, seeing the detection or being able to change it, or both? If this is about seeing the detection code/content, what about ML and algorithms? What about the SOC analysts who don't read the code? What about "tuning" - is tuning detections a bad word now in 2023? Everybody is obsessed about "false positives," what about the false negatives? How are we supposed to eliminate them if we don't see detection logic? Resources: Video (Linkedin, YouTube) Github rules for Chronicle DetectionEngineering.net by Zack Allen "On Trust and Transparency in Detection" blog "Detection as Code? No, Detection as COOKING!" blog EP64 Security Operations Center: The People Side and How to Do it Right EP108 How to Hunt the Cloud: Lessons and Experiences from Years of Threat Hunting EP75 How We Scale Detection and Response at Google: Automation, Metrics, Toil Why is Threat Detection Hard? Detection Engineering is Painful — and It Shouldn't Be (Part 1, 2, 3, 4, 5)