What are the risks of shadow AI usage among employees?

Four risks, and they compound: data leaves permanently, compliance claims become unverifiable, incidents have no audit trail, and none of it passed a vendor review.

Start with the data, because it is the irreversible one. An employee pastes a contract, a customer list, or a block of proprietary code into a model whose terms nobody read. You cannot confirm whether it was stored, reviewed by a human, or used for training, and you have no standing to ask, because there is no agreement to ask under.

Compliance breaks more quietly. Regulations increasingly require you to state which systems process personal or regulated data. Shadow AI makes that statement unverifiable by construction, since the category is defined by happening outside anything you track. You may not be out of compliance. You are unable to demonstrate compliance, and auditors treat those the same way.

Then the audit trail, or the absence of one. When something goes wrong, a leak, a bad output acted on, a regulator asking questions, there is no log showing what was sent, to which service, by whom, or when. Investigation becomes interviews.

The fourth risk is structural. Free tiers, personal accounts, and browser extensions bypass procurement entirely. No security review, no data processing agreement, no vendor to hold accountable. Every safeguard your third-party process provides is simply absent, and it is absent by default rather than by exception.

Akto Atlas discovers this usage across the enterprise so security teams can see what is actually running and govern it deliberately.

You cannot risk-assess an inventory you do not have. That is the first problem to solve, and it blocks all the others.