Shadow AI
Shadow AI
The use of AI tools for work by employees without their company's authorization.
In Simple Terms
Shadow AI means using a personal AI account for work without your company's knowledge. For example, feeding confidential company documents into a generative AI tool to get a summary or translation would count as shadow AI. Just because a tool is easy to use doesn't mean it's safe to ignore the rules — doing so creates a real risk of information leaking outside the company. It refers to any situation where AI is being used somewhere administrators can't see or monitor.
Behind the Name
Shadow AI combines the words "shadow" and "AI." It describes a situation where AI is being used off in the shadows, beyond what the IT department can see or track. The term is derived from "Shadow IT," which refers to using IT devices, software, or cloud services without an organization's approval.
Take a Closer Look!
Shadow AI refers to employees using generative AI and other tools for work on their own judgment, without approval from their organization's management or IT department.
In simple terms, it's using AI behind your company's back.
As AI tools have become more widespread, using them for work has become an everyday part of many jobs — but this can also create security challenges.
For example, if confidential information is entered into an AI tool, that data could end up being used to train the AI and later surface in responses shown to other users.
This kind of information leak is one of the key risks associated with shadow AI.
There's also a risk that comes from trusting AI-generated answers at face value and moving forward with them, which can end up spreading incorrect information.
On top of that, since the organization has no visibility into which departments are using what AI tools, it becomes harder to respond quickly if something goes wrong.
That's why it's considered essential to set clear rules for using AI, so it can be adopted safely within the organization.