Here is an uncomfortable bet: someone on your team pasted work into a public AI tool this week. Not maliciously — just trying to move faster. That is shadow AI, and for an organization that handles CUI, it is a data-governance gap hiding in plain sight.
Why this is a CUI problem, not just an IT annoyance
When an employee drops a document into a consumer chatbot to summarize it, that content leaves your boundary and lands in a third party’s cloud. If it contained CUI, you now have information outside the protections your DFARS obligations require — and you may not even know it happened. Shadow AI turns a productivity shortcut into an uncontrolled egress path.
Banning it does not work
The instinct is to prohibit AI outright. It does not hold — the tools are too useful and too available, and a ban just pushes usage further into the shadows. The goal is not to stop people from using AI; it is to give them a sanctioned way to use it that keeps CUI inside the boundary.
What actually helps
- See it. You cannot govern what you cannot measure. Understand which tools your team is actually reaching for.
- Offer a sanctioned path. A gateway that detects and flags potential CUI for human review before anything leaves — so people get the speed without the spill.
- Write a policy people can follow. Clear rules about what may and may not go into which tools, backed by training that explains the why.
- Keep a human in the loop. No filter is perfect; the reviewer is the control.
Shadow AI is a governance problem with a governance answer: visibility, a sanctioned path, and a policy your team will actually use. See how we help teams govern AI use around CUI.