Sanjay from CloudGov — the engineer who led the launch of AWS Control Tower — joins Ingram Micro's AWS Partner Spotlight to unpack why cloud costs spiral out of control, why AI spend behaves nothing like traditional cloud consumption, and how CloudGov's Commitment Shield and Token Shield products bring real-time financial and security governance to multi-cloud, AI-driven enterprises.Key Takeaways🏗️ Governance without killing agility — Sanjay's Control Tower work at AWS proved you can give developers fast, self-service cloud access without sacrificing security — a principle CloudGov now applies to multi-cloud and AI governance.💸 Three teams, no accountability — Engineering doesn't see cost, finance doesn't understand usage patterns, and procurement isn't in the room when technical choices are made — creating a governance gap no single team can close alone.🏎️ "There's only one minute in a minute" — Unlike fixed cloud compute, AI token consumption has no ceiling, misaligning provider incentives (sell more tokens) with customer incentives (spend wisely) — the "Ferrari to the grocery store" problem.🔒 AI needs its own security layer — Traditional endpoint security tools weren't built to catch PII/PHI/PCI leaking into AI prompts; Token Shield intercepts sensitive data at the token level before it ever reaches the model provider.Timeline00:00 – Welcome & introduction00:27 – Lessons from launching AWS Control Tower02:18 – Applying that pattern to multi-cloud & AI governance03:05 – Why cloud costs are so hard to see and control05:31 – Why disciplined teams still overpay (the commitment problem)07:47 – Why AI spend behaves differently than cloud spend09:46 – The "Ferrari to the grocery store" problem & Token Shield10:57 – The deeper risk: who's using AI, on what data13:09 – Why Ingram Micro was the right distribution partner