What Is Shadow AI, and How Do You Find It in Your Business?

Ask most business owners which AI tools their staff use and you'll get a short answer. Ask the staff, and the list gets much longer. That gap is shadow AI: AI apps, browser extensions and accounts people use for work without the business knowing or approving them.

It usually starts with good intentions. Someone uses a free chatbot to draft an email faster, installs a meeting note-taker, or pastes a spreadsheet into an AI tool to summarize it. Each of those can be fine. The problem is that nobody decided what's allowed, so nobody knows where your data went.

Why shadow AI is a business risk

Data leaks

When an employee pastes customer records, contracts, financials or source code into a public AI tool, that data leaves your control. Depending on the tool and the account type, it may be stored, reviewed by the vendor, or used to improve their models. Personal and free accounts often come with different data terms than business plans.

Compliance exposure

If the data includes personal, health or financial information, using an unapproved AI service can break privacy rules and industry requirements such as HIPAA, GLBA or state privacy laws. New AI-specific rules, like the EU AI Act and Colorado's AI Act, add expectations around transparency, risk assessment and human oversight.

Insurance gaps

Cyber insurers increasingly ask about AI use on applications and renewals. If you can't say which AI tools are in use and how they're controlled, your answers are guesses. That's a problem at renewal time and a bigger one when you make a claim.

No audit trail

Personal accounts and unapproved apps leave no record you can review. If something goes wrong, you can't tell what was shared, by whom, or when.

How to find shadow AI in your business

You don't need to ban AI to get this under control. Most businesses get the biggest gains from four steps.

Discover what's in use. Combine a short, no-blame staff survey with a technical review: sign-ins with company email addresses, browser extensions, SaaS and network logs, and expense reports for AI subscriptions. Look across the major platforms (ChatGPT, Claude, Microsoft Copilot, Grok, Gemini) and the long tail of smaller tools.
Assess the risk. For each tool, note who uses it, what data goes into it, and what the vendor's data terms are for the plan in use. Rank the tools by impact.
Govern it. Approve the tools that fit, move people onto business accounts with proper data terms, block the risky ones, and publish a plain-language AI use policy.
Report and repeat. Keep an inventory of approved AI, review it regularly, and document it so you have clear answers for leadership, auditors and your insurer.

The goal isn't less AI. It's AI your business has chosen on purpose, with your data protected.

Where to start

If you only do one thing this month, run the discovery step. Just knowing what's in use changes the conversation, and it's the foundation for the policy, controls and insurance answers that follow.

GDS Technology finds shadow AI as part of its AI Risk Assessment, which covers all four steps. You can also start with the free AI readiness scorecard, and we govern AI alongside the platforms we deploy. If you'd like to see where your business stands, book a review.