· Business
It is employees using powerful tools without clear rules.
- An analyst pastes client data into ChatGPT to build a summary.
- A compliance officer drops regulatory correspondence into Claude to draft a response.
- A relationship manager uploads a portfolio spreadsheet to “clean it up”.
None of them are acting maliciously.
They are trying to work faster. But many still do not understand the difference between an enterprise AI environment and a personal account.
One is designed to protect client data. The other may expose it to training or third-party retention.
- 33% of workers admit to sharing data on unapproved AI platforms.
- 37% have disclosed employee data.
- 24% have shared financial data.
This is not just a tooling issue. It is a training issue.
Where do you think the bigger gap is right now: policy, training, or tooling?
If you want the full white paper, get in touch and I’ll send it over.
