Blog - IT & Cybersecurity News | TMGC

What Is Shadow AI? How to Manage it in Your Business

Written by Tony DiDonato | Jun 17, 2026 4:41:08 PM

At some point in the last six months, someone on your team used an AI tool to get something done faster. Maybe it was a proposal. A job posting. A summary of a long document they didn't have time to read.

They didn't ask permission, because they didn’t think they had to. They just used it, got the result they needed, and moved on with their day.

You almost certainly don't know about it. And the data they fed into that tool went somewhere you've never seen.

According to TrustedTech's Shadow AI in the Workplace report, 65% of business decision-makers are already using unapproved AI tools at work, compared to 31% of the employees they manage. The people who would write the policy are the most active at ignoring the need for one.

That's what shadow AI looks like inside most businesses, and it’s one of the biggest security concerns in the workforce. Read our full guide to workplace AI security here, or keep scrolling to learn more about the threat of shadow AI.

 

Table of Contents

  1. What Is Shadow AI?
  2. How Shadow AI Gets Into Your Business
  3. Risks of Shadow AI
  4. Who's Really Using Unapproved AI Tools
  5. How to Handle Shadow AI in Your Company

 

What Is Shadow AI?

Shadow AI is any AI tool being used for work that your IT team hasn't vetted and your leadership doesn't know about. Think of it as the AI version of a problem IT departments have dealt with for years: employees adopting technology on their own because it works and nobody told them not to.

What makes AI different is what goes into it. When someone downloaded an unapproved file-sharing app five years ago, the risk was your data living in a system you didn't control. When someone pastes a client contract into a free AI tool today to get a quick summary, that contract is now in a third-party system being processed by a model whose data retention policy you've never read. The exposure is immediate, invisible, and almost never flagged.

 

How Shadow AI Gets Into Your Business

Shadow AI gets in through free tools your team discovers on their own, browser extensions that install in two clicks, and AI features quietly added to software you already approved.

That last one is the one most businesses miss entirely. The tools your team already relies on are adding AI capabilities, and people are using them. Grammarly is rewriting documents. Canva is generating images. Salesforce is surfacing AI-driven insights in the same CRM your sales team has used for years.

 

Your employees aren't going out of their way to find AI. AI is finding them, inside the tools they open every morning.

 

All of this is in addition to the vast adoption of the world’s most common AI tools like ChatGPT, Claude, Gemini, and more. And why would people think twice about using them for work when they’re becoming a woven part of our society’s fabric every day?

 

Risks of Shadow AI

That exact question is one of the biggest risks: people don’t think there’s any harm to using the tools available to them.

And while a consumer AI platform with a free tier isn't the enemy, the lack of knowledge around the tool might be. When an employee uses one to process a sensitive contract, summarize client financials, or draft an HR communication with real names and circumstances in it, the information has left your control entirely.

Some of those tools use inputs to train their models. Others retain data for extended periods under terms nobody reads before clicking "accept."

Here's what the exposure can look like:

 

Risk

What it Means

Example

Data Exposure

Information entered into consumer AI tools may be stored or used to train the underlying model

An employee pastes a client proposal into a free tool to clean up the language and add key takeaways

Compliance Violations

Sharing regulated data with an unapproved platform can violate HIPAA, FINRA, CMMC, and similar frameworks

A financial services employee uses a consumer chatbot to summarize client account details

Cyber Insurance Gaps

A breach tied to shadow AI use may not be covered if no governance policy existed at the time

An insurer declines a claim because the business had no documented AI usage policy

Unreliable Output Acted On

AI tools produce confident-sounding results that are sometimes wrong, and employees don't always verify before using them

An AI-generated summary contains errors that make it into a client deliverable

 

If your business operates in a regulated industry, compliance is the piece that tends to catch people off guard. The rules about where your data can go don't have an exception for tools that are convenient.

A consumer platform without a data processing agreement in place isn't a compliant destination, and the employee who used it didn't know that because nobody told them.

 

Who's Really Using Unapproved AI Tools

The natural instinct is to frame this as something junior employees do. Someone who doesn't know better, experimenting with tools, not aware of the implications. TrustedTech's research says otherwise.

 

Decision-makers are using unapproved AI tools at more than twice the rate of the employees beneath them. And the majority of those decision-makers understand the risks. They use the tools anyway because the approved alternatives either don't exist yet or don't actually solve the problem they're trying to solve.

 

That's a different diagnosis than a behavior problem. If the people running the business are quietly using unapproved AI to get more done, then building a stricter policy memo will be wasted effort.

 

How to Handle Shadow AI in Your Company

The worst response to shadow AI is banning tools without replacing them. Nearly a third of employees say they would keep using AI tools even if their company explicitly prohibited it. A policy without a replacement path just moves the behavior underground, where you have even less visibility than you do now.

The version that actually works looks like this: accept that AI use is already happening and the goal is to channel it, not eliminate it. Approve a set of tools that legitimately meet your team's needs, specifically the business or enterprise tiers that come with proper data agreements. Then write down what's approved, what data types are off-limits for any AI tool, and what the expectations are.

That's your AI acceptable use policy. Without one, you have no standard to hold anyone to and nothing to show if a breach ever gets investigated. With one, you've closed the gap between what your team is doing and what your business can defend.

If you want someone to help you understand what's actually happening inside your environment before you try to govern it, that's exactly what we do at The Millennium Group Computing.

Get started with by taking our AI readiness quiz, then reach out for a free assessment from our IT team today!