Cloud Security Podcast by Google

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


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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)

 

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Cloud Security Podcast by GoogleBy Anton Chuvakin

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