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Shadow AI: The Hidden Risk in Every Belgian Office

Half your team is already using ChatGPT. You just don't know what they're pasting into it. Here's why that's a problem — and what to do about it.

Published April 20269 min readBy the Fly AI team

What Is Shadow AI?

Shadow AI is any AI tool your employees are using that IT doesn't know about. Think: ChatGPT, Notion AI, Grammarly, Jasper, Midjourney, GitHub Copilot — tools people sign up for on their own, often with a personal email and credit card.

It's called "shadow" because it's invisible to you. You don't know it's happening until something breaks.

60–70%

According to industry research, 60–70% of employees use AI tools that their IT department has not approved.

The question is not whether it is happening in your organization. It is how much data has already left.

Why People Use It

Because it makes their job easier. Writing emails, summarizing meetings, drafting reports, generating ideas — AI is really good at this stuff. Your team isn't being sneaky; they're just being productive.

The problem isn't that they're using AI. The problem is what they're putting into it and where that data ends up.

The problem is not that your team is using AI. The problem is that you have no visibility into what data is going where.

The Three Big Risks

1. Data Leakage

Your employee pastes a customer list into ChatGPT to "clean up the formatting." Congratulations: you just sent personal data to OpenAI's servers. Depending on their terms of service and where those servers are, you may have just violated GDPR.

Real examples we've seen:

  • Salesperson pastes an NDA-protected contract into ChatGPT to "summarize the key points"
  • HR pastes candidate CVs into an AI tool to "score them faster"
  • Finance uploads an Excel file with revenue data to an AI tool to "generate a chart"

All of this data — contracts, CVs, financials — is now sitting on someone else's server. In some cases, it's being used to train the next version of the AI. In other cases, it's just stored indefinitely.

2. Compliance Violations

Under GDPR, you're the data controller. You're responsible for protecting customer data, even if your employee used a tool you didn't approve.

"But we didn't know they were using ChatGPT!" won't hold up. GDPR requires you to have controls in place. If you don't, and there's a breach, you're liable.

What counts as a breach:

  • Pasting customer emails into an unapproved AI tool
  • Using AI to process health data, financial data, or anything else that's "special category" under GDPR
  • Sharing data with an AI tool that doesn't have a proper Data Processing Agreement (DPA)

3. IP and Confidentiality Loss

Your developer pastes proprietary code into GitHub Copilot or ChatGPT to "debug it." That code might now be part of the AI's training data — meaning it could show up in someone else's suggestion tomorrow.

Or: your marketing team uses an AI tool to draft a pitch for a new product. That pitch gets logged. If the AI provider gets hacked, your unannounced product is now public.

High-profile example:

Samsung banned ChatGPT after engineers accidentally leaked semiconductor designs by pasting code into it. The code became part of OpenAI's training corpus.

Is shadow AI happening in your organization?

If you cannot confidently answer these five questions, the answer is almost certainly yes.

Do you have an official list of approved AI tools?
YesNo
Does your organization have a written AI usage policy?
YesNo
Have you asked your team what AI tools they actually use day to day?
YesNo
Do you know whether personal data has been pasted into ChatGPT, Claude, or similar tools?
YesNo
Can you see which AI tools are being accessed from your company network?
YesNo

If you answered 'no' to two or more of these questions, you have a shadow AI problem — and you are not alone.

The four-step playbook to take back control

1

Discover

Audit what AI tools your team is actually using. Ask directly — most employees will tell you honestly when the conversation is framed around helping, not policing. Review browser logs and SaaS subscriptions for AI tool activity.

2

Decide

Create an approved tools list. For each AI use case, decide: approve it with guidelines, replace it with a sanctioned alternative, or block it with a clear explanation. Blanket bans do not work — people route around them.

3

Deploy

Provide your team with AI tools that are actually better than the shadow alternatives. If you give them a secure, EU-hosted AI assistant that reads their emails and drafts replies, they will stop pasting customer data into ChatGPT on their own.

4

Monitor

Ongoing visibility is essential. Deploy a management layer that shows which AI agents are running, what data they process, and whether anything falls outside the approved boundaries. This is not surveillance — it is governance.

How Fly AI eliminates shadow AI risk

We solve shadow AI from both ends. First, our AI Audit identifies every unsanctioned AI tool in your organization and maps the data exposure. Then, we replace risky shadow tools with purpose-built AI agents that run on EU-sovereign infrastructure — giving your team the same productivity boost with none of the compliance risk. And our Agent Management Portal gives your IT team and leadership real-time visibility into every AI agent running in the company.

AI Audit

Discover every AI tool in use across your organization. Map data flows, classify risks, and get a clear remediation plan.

Learn about our AI Audit

Custom AI Agents

Replace risky shadow tools with secure, EU-hosted AI agents built for your specific workflows. Same productivity, zero data leakage.

Explore AI Agents

Agent Management Portal

Real-time oversight of every deployed AI agent. Status monitoring, audit logs, on/off control, and instant alerts if anything goes wrong.

See Agent Management

Ready to find out what AI your team is really using?

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Aderco logo
KBC logo
NTT logo
WE logo
SPW Wallonie logo
ISVAG logo
IFIC logo
Ixelles logo
Partena logo
Optiflux logo