About this episode
Welcome to episode 340 of The Cloud Pod, where the forecast is always cloudy! It’s a full house (eventually) with Justin, Jonathan, Ryan, and Matt all on board for today’s episode. We’ve got a lot of announcements, from Gemini for Gov (no more CamoGPT!) to Route 52 and Claude. Let’s get started!
Titles we almost went with this week
Claude’s Pricing Tiers: Free, Pro, and Maximum Overdrive
GitHub Copilot Learns Database Schema: Finally an AI That Understands Your Joins
SSMS Gets a Copilot: Your T-SQL Now Writes Itself While You Grab Coffee
Too Many Cooks in the Cloud Kitchen: How 32 GPUs Outcooked the Big Tech Industrial Kitchens
Uncle Sam Gets a Gemini Twin: Google’s AI Goes Federal
Route 53 Gets Domain of Its Own: .ai Joins the Party
Thai One On: Google Cloud Plants Its Flag in Bangkok
NAT So Fast: Azure’s Gateway Gets a V2 Glow-Up
Beware Azure’s SQL Assistant doesn’t smoke your joints.
AI Is Going Great, Or How ML Makes Money
30:10 Announcing BlackIce: A Containerized Red Teaming Toolkit for AI Security Testing | Databricks Blog
Databricks released BlackIce, an open-source containerized toolkit that bundles 14 AI security testing tools into a single Docker image available on Docker Hub as databricksruntime/blackice:17.3-LTS.
The toolkit addresses common red teaming challenges, including conflicting dependencies, complex setup requirements, and the fragmented landscape of AI security tools, by providing a unified command-line interface similar to how Kali Linux works for traditional penetration testing.
The toolkit includes tools covering three main categories: Responsible AI, Security testing, and classical adversarial ML, with capabilities mapped to MITRE ATLAS and the Databricks AI Security Framework.
Tools are organized as either static (simple CLI-based with minimal programming needed) or dynamic (Python-based with customization options), with static tools isolated in separate virtual environments and dynamic tools in a global environment with managed dependencies.
BlackIce integrates directly with Databricks Model Serving endpoints through custom patches applied to several tools, allowing security teams
