Most enterprises are building AI agents that work perfectly — and leak data constantly. Here's the architectural breakdown of why, and what a correct design actually looks like.
I've spent the last three years as an independent Systems Architect consulting for enterprises across San Francisco and the broader Bay Area. My job is to dissect data flows, find the load-bearing walls in technical architecture, and tell clients the truth they don't want to hear.
Right now, the truth is this: the most dangerous vulnerability in most enterprise tech stacks isn't SQL injection, weak encryption, or misconfigured IAM policies. It's the way companies are building their internal AI agents.
Let me show you exactly what I mean.
The "Standard Approach" and Why It's Broken
