Shadow data: why zombie files are waking up in the age of AI
In our last post, we made the case that shadow AI risk starts with the data, not the tool. Blocking unsanctioned AI apps can’t keep pace with how quickly new tools appear. What reduces risk is protecting sensitive data itself, so it stays safer wherever it ends up, whether that’s an approved AI assistant or a tool nobody signed off on.
That strategy has a prerequisite. You can’t protect data you don’t know you have, or data you don’t know is sensitive. In most organizations, a large share of data falls into exactly that gap: a customer export from a migration that wrapped up long ago, a copy of an HR spreadsheet saved to a team share “just for now,” a project folder from a deal that closed three fiscal years back.
For years, files like these were relatively harmless, largely because they were hard to find. AI changes...
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