AI data exposure
Copilot can see more than you think.
AI assistants inherit every permission a user already has. In most tenants that includes years of over-broad sharing nobody noticed, because until now nobody could search for it in plain English.
Audit scope is agreed before work starts. No hourly surprises.
The pattern we find every time
A SharePoint site gets created for one project, shared with everyone in the organization because that was faster than picking names, and then forgotten. Multiply that by five years of projects.
- That content was technically open the whole time. Nobody found it because nobody thought to search for it.
- Copilot removes that accident of obscurity. Someone asks a plain-English question and it answers from whatever it can reach.
- Salary files, board material, HR cases, and client contracts are the four that turn up most often.
What the audit covers
Four layers, in the order that matters: what is over-shared, what is sensitive, what should be blocked from leaving, and what your staff are allowed to do with AI in the first place.
- Permission exposure. SharePoint, OneDrive, and Teams reviewed for organization-wide links, anonymous links, and stale guests.
- Sensitivity labeling. Microsoft Purview labels on the categories that matter, automatic where the pattern is reliable.
- Data loss prevention. Policies tested against real files, not against theory.
- Shadow AI discovery. Which unapproved tools your staff are already pasting company data into.
- Acceptable-use policy. Written to be read by staff, not filed by legal.
Audit it before you switch it on.
A permission review before deployment costs considerably less than an exposure afterward. Thirty minutes to scope it, no obligation.