The biggest security gap in your company isn’t necessarily a hacker. It could be your own employees trying to do their jobs better.
They’re potentially downloading the file-sharing app that works faster, the messaging tool their team already uses elsewhere, and the AI tool that saves them an hour. In many cases, they are simply trying to get work done—not intentionally avoiding company processes.
Instead of uploading a spreadsheet to an unauthorized cloud service, employees are asking an AI assistant to summarize meeting notes, rewrite emails, or explain an internal document—and increasingly, they’re doing it from their phone between meetings, not from a laptop at a desk.
That distinction matters more than it sounds. A phone with AI built into its OS doesn’t ask permission the way an app download does. If your AI governance policy was written with laptops in mind, mobile devices may already be the gap nobody’s watching.
Table of contents:
- What is shadow AI?
- Why shadow AI looks different from shadow IT
- Why mobile is where shadow AI is hardest to see
- Closing the gap: identity and on-device processing
- Building AI governance that starts with mobile
What is shadow AI?
Before diving in, let’s clarify what shadow AI is.
It’s the use of AI tools, features, or assistants inside an organization without IT’s knowledge, approval, or oversight. It could be an employee using a personal AI account to summarize a client call, or even a built-in phone feature quietly processing a document photo.
None of it is usually malicious. An employee asking an AI tool to clean up meeting notes isn’t trying to leak the company roadmap; they’re trying to save twenty minutes. But, it has the same effect as any other unsanctioned data flow—company information slipping out through a channel IT can’t see.
According to IDC, 42% of C-level executives cite concerns about AI adoption compromising their organization’s control over data and intellectual property as a top barrier to broader use. That’s not a hypothetical concern. It’s the direct result of AI adoption outpacing AI governance.
Why shadow AI looks different from shadow IT
Shadow IT had a natural ceiling. An employee could only sign up for so many unauthorized SaaS tools before a subscription, a login, or an IT audit surfaced it.
Shadow AI doesn’t have that ceiling, because it usually doesn’t require a new sign-up at all. Many AI features now ship as part of the OS or a productivity app the employee already had permission to use. There’s no new app in an inventory scan, no new vendor contract, and no obvious moment where IT would think to ask a question.
That’s what makes shadow AI harder to govern than shadow IT ever was. The entry point isn’t a new piece of software—it’s a new capability quietly added to software that was already approved.
Why mobile is where shadow AI is hardest to see
Enterprise AI is often framed as a desktop experience: an employee opens a browser-based assistant from a laptop, where IT may have some visibility. But the reality is, much of today’s work happens somewhere else.
Employees handle emails between meetings, translate conversations while traveling, capture documents with a phone camera, and join calls from airports, cafés, and customer sites. As work moves with them, AI does too—embedded in the smartphone they use throughout the day.
That changes the governance picture. Smartphones are no longer only communication devices; consumer AI features can operate within the services employees use to access business information.
Closing the gap: identity and on-device processing
Shadow AI isn’t a reason to block AI outright. Employees may look for workarounds, the same way they found a way around blanket bans on file-sharing tools. It’s a reason to make the sanctioned path easier to see and control than the unsanctioned one.
Processing location is one lever. Some AI features can run directly on the device rather than sending data to the cloud, which means that information never has to leave the device to begin with—one less transmission, and one less environment IT has to trust.
Through Knox Service Plugin, IT admins can set policies to require on-device-only processing for supported Samsung Galaxy AI features across a fleet, or restrict specific features entirely, rather than leaving that decision to each employee, device by device.
Identity is the other lever. When AI activity is tied to a personal account, the chat history, generated content, and any organizational knowledge inside it can leave with the employee.
Samsung Account for Business helps organizations manage access to supported Galaxy AI features without relying on employees’ personal Samsung accounts. It keeps work and personal data separate while giving IT greater control over organizational accounts.
Neither control eliminates shadow AI by itself. Together, they shrink the space where it can happen unnoticed.
Building AI governance that starts with mobile
Most organizations already have an AI governance policy on paper. Far fewer have checked whether that policy actually reaches the devices employees use most: their phones.
That’s the gap Samsung Knox Platform for Enterprise is built to close, providing hardware-based security and policy-management capabilities that extend to supported Galaxy AI features rather than stopping at the laptop fleet.
Shadow AI will keep growing as long as the sanctioned path is slower than the unsanctioned one. Closing the gap starts with making sure mobile is part of the governance conversation, not an afterthought to it.
Ready to strengthen your AI governance on mobile?
