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How to Run a "Shadow AI" Audit Without Slowing Down Your Team
It usually starts small. Someone uses an AI tool to refine a difficult email. Someone enables an AI add-on inside a SaaS app because it promises to save an hour a week. Someone pastes a paragraph into a chatbot to “make it sound better.” Then it becomes routine. And once it’s routine, it stops being a simple tool decision and becomes a data governance issue: what’s being shared, where it’s going, and whether you could prove what happened if something goes wrong. That’s the co
5 days ago4 min read
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