In early 2023, some Samsung engineers pasted semiconductor source code into ChatGPT to get help debugging it. Fast, easy, and it usually works. A few weeks on, the company found three separate leaks of confidential data through the chatbot. A month later, Samsung banned generative AI company-wide.
Samsung has a security budget most countries would envy, and they still didn’t catch it until the data was gone.
So what’s happening at the 18-person accounting firm in Tempe where half the staff is on their personal ChatGPT accounts to get through the day? Nobody approved it and nobody’s watching it. That’s shadow AI, and if you run a business in Arizona, you probably have it right now.
What shadow AI actually is (and why it’s not shadow IT)
Here’s the plain version: shadow AI is what you’ve got when employees and vendors run unauthorized AI tools at work, feeding company data into systems your IT setup can’t see or control.
You know shadow IT already, which is the older headache. Shadow IT is a software problem due to unauthorized use but shadow AI is different. These tools take your data in, process it and often keep it on someone else’s servers. The leaked database grows without your knowledge until a cybersecurity attack exposes it.
The part that catches owners off guard is personal accounts. When an employee uses their own Claude, Gemini or ChatGPT for work, you’ve got no record, no audit trail, no way to enforce a single rule. Cyberhaven’s 2026 AI adoption report found that over 60% of AI use at work runs through personal accounts, not company ones. The worst? 39.7% of all AI interactions involve sensitive data, and most of it isn’t on a system you could monitor.
That’s the trouble. It’s not one rogue tool you can shut off. It’s a shadow layer of your business running where you can’t see it.
Why your team is already doing it
Nobody wakes up wanting to leak company data. Employees reach for these tools because the tools are quick and your approval process isn’t. Imagine a bookkeeper has a messy spreadsheet to clean up before a 2 p.m. deadline. ChatGPT does it in thirty seconds. But asking IT would take three days, if a dedicated IT team even exists in a small business.
So the contract, the client list and the half-finished financials get pasted. LayerX’s security report found that about 50% of employees admit to dropping sensitive business data into generative AI tools, and the ones doing it aren’t being reckless.
The goal is to be efficient and that’s the awkward part. The same instinct that makes someone a good employee is the one putting your data somewhere you can’t reach it.
The three real AI security risks
It’s easy to wave this off as a hypothetical. But that’s where shadow AI actually costs you.
1. Your data leaves and doesn’t come back
The moment something is shared with a public AI chatbot, you lose the chain of custody. You can’t tell where it went, who can see it, or whether it’s sitting in a training set somewhere. No revoke button reaches that far.
A traditional breach at least leaves tracks you can follow. But this gives you nothing, which makes it nearly impossible to contain or even prove later.
2. Compliance turns into a liability
Plenty of Arizona businesses sit in regulated work: medical practices, law firms, accountants handling client financials. If you feed protected health information or client records into an unvetted tool, you’ve potentially broken HIPAA, a client confidentiality rule, or your own contracts, all without meaning to. The regulator won’t care that it was an accident.
3. You can’t defend what you can’t see
This is the one that ties the rest together. You can’t write a policy, run a risk assessment, or stop a leak for a tool you don’t know is in use. IBM found that only 17% of companies have any technical control to stop employees from uploading confidential data to public AI. The other 83% are running on hope and trust.
Arizona already saw this coming
The state government treated unmanaged AI as a real risk before most businesses did. Back in early 2025, Arizona partnered with InnovateUS to train state employees on responsible AI use, and the state’s own policy now requires staff to finish that training before they’re allowed near a gen AI tool. Governor Hobbs set up a 19-person AI Steering Committee to write the state’s first real playbook.
So Arizona has guardrails. Your business, in all likelihood, has a memo nobody’s read and a lot of personal ChatGPT tabs.
What to do about it: govern, don’t ban
The instinct is to ban the stuff outright. Don’t do that.
Every business that’s tried it learns the same lesson: people just move to their phones, and now the problem is fully underground where you’ll never find it. Instead, you should govern it.
- Find out what’s actually being used. You can’t manage tools you’ve never seen, so start with an honest look at what your team has open right now.
- Write a plain acceptable-use policy. One page. What’s fine, what’s off-limits, what counts as sensitive.
- Give people sanctioned tools. Enterprise versions of ChatGPT or Microsoft Copilot keep your data out of training sets and under your control.
Then set up KPIs to monitor it, so the policy isn’t just a document gathering dust.
You don’t have to figure this out alone
Most Arizona businesses don’t have a security team sitting around to chase down every AI tool their staff signed up for. But that’s a gap MyTek fills.
We help you surface what’s already running in your business, write a policy that people will actually follow, and roll out governed versions of the tools your team wants anyway, so the productivity stays and the leaks stop.
As your local IT partner in Arizona, we fold all of it into the same managed IT and cybersecurity coverage that watches the rest of your environment, alongside our full range of services.
Shadow AI isn’t going away. The businesses that handle it now are the ones that won’t read about themselves in a breach report later.
Book a free consultation with MyTek today and find out what’s hiding in your stack.