Next up in our Request for Startups by Icons series: @AnahitaTafvizi , Chief AI & Data Officer at @Snowflake If you're building in this or a similar area, let's talk! Autonomous Governance Sandboxes for Enterprise AI Enterprises are racing to enable employees to build and experiment with AI agents for productivity gains. However, security teams are hitting the brakes due to concerns around data leakage, compliance, and "shadow AI" risks. Right now, setting up a safe environment to test an LLM against corporate data is a highly manual, weeks-long IT process involving data masking and rigid provisioning. I would love to see founders start thinking about how to solve this through autonomous security platforms that can instantly spin up secure "shadow sandboxes." These platforms would connect to enterprise data layers, automatically mirror production data with high-fidelity synthetic equivalents, and continuously audit prompt and response logs in real time. By giving every employee an instant, zero-friction virtual playground with compliance built in by default, this infrastructure would transform security from the biggest barrier to enterprise AI adoption into the foundation that makes it possible.