More and more employees use AI tools such as writing assistants, document summarizers and data-analysis helpers in their daily work. This brings clear productivity gains, but it also opens a route for data leakage that many enterprises have not yet had time to control.
What is "Shadow AI"?
"Shadow AI" refers to employees using personal AI tools, not approved or monitored by the IT department, to process work data. Typical examples: pasting the text of a contract into a free AI chatbot to get a summary, or uploading a financial report to a third-party AI analysis tool.
The problem is not the AI tool itself, but that sensitive data leaves the enterprise's control without passing through any review step, much like sending a confidential document to an unknown third party.
Why traditional network security is not enough
Traditional security measures such as firewalls, device control and identity management are designed to protect the enterprise's network perimeter. But when an employee pastes document content into the chat box of an AI tool running in a browser, the data has left that perimeter in a technically legitimate way: no malware, no unauthorized intrusion. This is exactly the gap that Data-Centric Security aims to close.
Should enterprises ban AI use?
A complete ban is unrealistic and pushes employees to "work around" the rules, making control even harder. A more workable approach is to ask clear questions for each type of document:
- Is this document allowed to be accessed by AI tools?
- If so, which sensitive pieces of information must be excluded or masked first?
- Who in the organization is authorized to make that decision?
Being able to answer these questions for each document, rather than applying one general policy to all, is the approach supported by platforms such as the product: policy attached to each file, letting the enterprise decide which documents are ready for AI to process and which must be held back.
Next step
If your enterprise is applying AI to operations but has no clear policy on which data may be fed into these tools, this is a point worth including in the compliance assessment or discussing directly with the AISA team about the Secure AI solution.
