What is the difference between shadow AI and shadow IT?

Shadow IT is unsanctioned infrastructure: an app, a service, a server someone stood up outside procurement. Shadow AI is unsanctioned data egress combined with non-deterministic behavior. The difference that changes your controls is that shadow IT sits at a discoverable network destination, while shadow AI usually rides inside sanctioned domains, browser extensions, and features quietly added to software you already bought.

Discovery breaks first. A shadow IT audit finds unknown SaaS by looking at egress and OAuth grants, and it works because the unknown service has its own domain. AI features inside Notion, Slack, Zoom, and Figma generate no new destination. The same technique returns nothing.

The risk profile diverges next. Shadow IT exposes data to a third party under known terms. Shadow AI exposes data to a third party that may retain it for training, produces outputs of uncertain provenance and IP status, and increasingly takes actions rather than storing records. An unsanctioned project management tool holds your data. An unsanctioned agent holds your data and a set of connected permissions.

Remediation diverges last. Shadow IT is resolved by migrating users to the sanctioned equivalent. Shadow AI often has no equivalent, because the sanctioned tool genuinely does less, which means blocking without replacing simply relocates the usage to a personal device you cannot see at all.

Akto Atlas is built for the discovery difference, identifying AI usage at the browser and extension layer rather than only at the network destination, which is where the shadow IT playbook stops working.

Run your shadow IT process against shadow AI and it will report a clean estate. It is not clean. It is invisible to that process.