Detection Engineering with Google Cloud
Cloud Security Podcast - Podcast készítő Cloud Security Podcast Team

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Detection rules aren’t just for fun—they’re critical for securing cloud environments. But are you using them the right way? In this episode, Ashish Rajan sits down with David French, Staff Adoption Engineer for Security at Google Cloud, to break down how organizations can scale Detection as Code across AWS, Azure, and Google Cloud.Why prevention isn’t enough—and how detection fills the gapThe biggest mistakes in detection rules that could blow up your SOCHow to scale detections across hundreds (or thousands) of cloud accountsThe ROI of Detection as Code—why security leaders should careCommon low-hanging fruit detections every cloud security team should implementDavid has spent over a decade working in detection engineering, threat hunting, and building SIEM & EDR products. He shares real-world insights on how companies can improve their detection strategies and avoid costly security missteps.Guest Socials: David's LinkedinPodcast Twitter - @CloudSecPod If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels:-Cloud Security Podcast- Youtube- Cloud Security Newsletter - Cloud Security BootCampIf you are interested in AI Cybersecurity, you can check out our sister podcast - AI Cybersecurity PodcastQuestions asked:(00:00) Introduction(03:06) What is Detection as Code?(03:41) What was before Detection as Code?(05:36) Business ROI for doing Detection as Code?(07:49) Building Security Operations in Google Cloud(12:41) Threat Detection for different type of workload(14:54) What is Google SecOps?(20:36) Different kinds of Detection people can create(24:46) Scaling Detection across many Google Cloud accounts(28:47) The role of Data Pipeline in Detection(31:44) Detections people can start with(34:14) Stages of maturity for detection(36:43) Skillsets for Detection Engineering(39:32) The Fun Section