The biggest risk with deploying Microsoft Copilot or custom internal AI isn’t that the model will hallucinate. It’s that it will tell the truth.
I spoke with a CIO recently who hit the pause button on their rollout. The reason? During a sandbox test, a junior employee asked the bot, “What is the salary range for my manager’s level?”
The bot didn’t make up an answer. It pulled up a “Draft_Budget_2019.xlsx” file that had been buried in a forgotten SharePoint sub-folder for five years.
The file had global permissions. “Everyone” could access it, but because it was buried five folders deep, nobody found it. Until the AI did.
For the last decade, most organizations have relied on “security by obscurity.” We assumed that if a file was hard to find, it was safe.
Generative AI kills that concept immediately. If an LLM has read access to your drive, it creates a flat hierarchy. It generates an answer if the permission is granted.
Before you turn these tools on, you have to clean up the basement. You also need to audit permissions, archive the “ROT” (Redundant, Obsolete, Trivial) data, and lock down your access controls.
Don’t let your new AI tool become the most efficient corporate leak in company history, request a consultation, today!
