How do you make sure your favorite cereal is always on the shelves when a cyber disaster strikes? In this episode, hosts Tim Peacock and Alicja Cade sit down with Noah Korba, VP of Digital Core, Cybersecurity, and Enterprise Architecture at General Mills, to look under the hood of "Mills Collaborative Recovery"—their intensive, annual two-week drill that actually recovers 90% of their Google Cloud estate to test real-world cyber resilience.

• ⌨️ "Clicking and Clacking" vs. Talking: Why General Mills ditched traditional tabletop discussions to actually run hands-on, keyboard-driven recoveries of their entire cloud infrastructure.

• 🥣 Protecting the Cinnamon Toast Crunch: How the team mapped out their "Minimum Viable Business" to keep critical supply chain and manufacturing operations moving.

• 🔑 The IT vs. OT Reality: The unique challenge of recovering factory equipment, where software updates won't work without a physical key turned on the warehouse floor.

• 💼 To Board or Not to Board: Noah's take on whether involving the board of directors in active cyber exercises is a valuable use of their time.

Is internet trust fundamentally broken? On this episode, former Google "Click Fraud Czar" and Reken CEO Shuman Ghosemajumder joins hosts Tim Peacock and Nolan Karpinski to trace the evolution of automated fraud—from Gmail's early invite days to the origin of "credential stuffing."

Discover why today's threat landscape feels like an AI DDoS, how cybercriminals exploit the "Smart Cow" resource model, and why running security models on-device is our best shot at defending against scaled AI slop without sacrificing data privacy.

What you'll learn:

• 🧠 The "Smart Cow" Problem: How advanced exploit tools are built by the few and commoditized for the masses.

• 💻 On-Device Defense: Why local, lightweight AI models are the future of communications security.

• 🛡️ The Paranoia Protocol: Tim and Shuman's practical advice on validating identities in the age of deepfakes.

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Can you build a fully functional, high-scale SIEM in just two weeks for under $7,000?

In this episode of the Cloud Security Podcast, hosts Tim Peacock and Kyle Champlin sit down with long-time collaborator Dan Lucier, Founder of Nano, to unpack how he "vibe-coded" an entire SIEM from scratch during his end-of-year holiday break.

Dan shares his journey of leveraging bleeding-edge AI code assistants to go from a Postgres prototype to a blazing-fast, production-ready SIEM built on Rust and ClickHouse.

In this episode, we cover:

• 🛠️ The $7,000 Stack: How Dan utilized Claude Code and Kubernetes to build a lean platform running on 2 vCPUs and 4GB RAM while ingesting 10–20 GB of data daily.

• ⚡ Why ClickHouse? The database architectural decisions behind maintaining sub-second search speeds at massive scale.

• 🤖 AI-Pilled but Cautious: Why Dan takes a surprisingly conservative approach to AI case closure and triage (and how it compares to Google's Triage and Investigation Agent).

• 💻 Detection as Code: How MCP (Model Context Protocol) servers and AI are leveling the playing field for smaller security teams.

Whether you're an AI enthusiast, a data nerd, or a security leader looking at the "fourth wave" of SIEM, this episode is a masterclass in modern, rapid-fire software engineering.

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https://cloud.google.com/blog/products/identity-security/cloud-ciso-perspectives-how-cisos-can-pursue-technical-and-cultural-resilience-q-a?e=48754805