Shadow AI: the Invisible Risk of the AI Tools Your Team Already Uses

78% of AI users bring their own tools to work. Understand the impact of shadow AI, the risks for an SME and the steps to control it without slowing productivity.

One employee pastes a contract into a free AI assistant to "check everything is fine". Another uploads a customer spreadsheet to generate a report faster. Nobody asked for permission and, in most cases, nobody means any harm. This is called shadow AI: the use of AI tools by employees without the company's knowledge or approval.

It is not a marginal phenomenon. In Microsoft and LinkedIn's 2024 Work Trend Index, 78% of AI users said they bring their own tools to work. The study surveyed about 31,000 people in 31 countries. In this article we look at the impact, the concrete risks for an SME and what you can do right away.

Why shadow AI happens

The explanation is rarely disregard for the rules. It is the lack of an alternative. The tools are free, fast and solve real day-to-day problems: summarising, drafting, translating, analysing data. When the company does not offer an approved option, the team improvises.

Banning everything tends to push usage out of sight rather than eliminate it. The realistic goal is not "zero unauthorised AI", it is to make visible what is already used and give people a safe way to do it.

The impact: what is at stake

• Exposed data. What is pasted into an external tool leaves the company's perimeter. According to IBM's 2025 report, as summarised by Baker Donelson, shadow AI incidents accounted for 20% of the data breaches analysed.
• Lack of governance. The same summary says 63% of organisations had no AI governance policy, and that 97% of those that suffered a breach involving AI models lacked proper access controls.
• Cost. Several analyses of the report point to an average extra cost of about $670,000 for a breach in organisations with high levels of shadow AI. It is an average from larger organisations and should be read as an order of magnitude.
• Trust. A well-known case: in 2023, Samsung asked one of its divisions to stop using generative AI after engineers leaked internal source code, according to CSO.

The risks for an SME

1. Data protection. If customers' or employees' personal data is processed in a tool without a proper contract, the company is still responsible, even without knowing. See GDPR and Artificial Intelligence.
2. Trade secrets and intellectual property. Proposals, prices, code and strategies may be retained or used to train models, depending on each provider's terms.
3. Unchecked errors. Models generate plausible but incorrect answers. Without human review, a mistake can reach a customer or a contract.
4. No traceability. If you do not know which tools are used, you cannot audit, correct or respond to an incident.
5. AI Act compliance. The duty to promote AI literacy applies to anyone using AI in a professional context, regardless of size. The Digital Omnibus recalibrated Article 4 into a duty to take measures supporting literacy, rather than guaranteeing an individual level of competence, according to analyses such as KI-Campus. Check the final text with your legal adviser.

How to respond: five steps

1. Understand real usage. A short, anonymous survey, without blame, reveals which tools are used, for what and with which data.
2. Define a simple policy. One page: what you may do, what must never be pasted (personal data, contracts, customer information) and whom to ask when in doubt.
3. Offer approved alternatives. Tools with business contracts and controlled retention and training, or internal assistants connected to your data. If the approved option is as easy as the personal one, shadow AI loses its reason to exist.
4. Train the team. AI literacy is not just "how to use": it is knowing what not to share and how to review results.
5. Monitor and review. Keep an inventory of tools and review it regularly. AI changes fast, so the policy must change too.

The questions to ask right now

Use this list as a diagnostic. If you cannot answer more than two, shadow AI is probably already in your company.

• Which AI tools does the team use today, and for what?
• What types of data are pasted into those tools (personal, customer, contracts, code)?
• Do each provider's terms allow our data to be used to train models? Where is it processed?
• Do we have data processing agreements (GDPR, Article 28) with providers that handle personal data?
• Is there an AI usage policy, and does the team know it?
• Is there an approved alternative as easy to use as the personal tool?
• Who reviews the outputs before they reach a customer?
• How do we detect and report a data incident?

How TecLab can help

At TecLab we support Portuguese SMEs in designing and implementing AI and automation solutions. On this topic, we can help you to:

• Map current AI usage in the company, with a quick diagnostic and without blaming the team.
• Define a usage policy and a simple data classification.
• Design approved alternatives, such as assistants and AI agents that work with your data under your control.
• Train the team in AI literacy and good practice.

You can start by talking to us for a first diagnostic.

Frequently asked questions

Does banning AI tools solve the problem?

Rarely. Without an approved alternative, usage tends to continue out of sight. It works better to combine clear rules with safe tools that the team actually wants to use.

Is using AI without the company's authorisation illegal?

Not in itself. The problem arises when personal data or confidential information is processed without a legal basis, without a proper contract or against internal rules. Responsibility under the GDPR falls on the company.

Does a small SME need an AI policy?

Yes, and it can be short. One page with what may and may not be shared, the approved tools and whom to turn to when in doubt already reduces the risk considerably.

Where do I start?

With the diagnostic: knowing which tools are used and with which data. Without that, any policy is a guess.

Conclusion: from the shadows into the light

Shadow AI is a sign that the team wants productivity and the company has not yet given them the path. Giving visibility, simple rules and safe alternatives turns a hidden risk into a competitive advantage. Are you using AI in your company without knowing exactly how?

Read also: GDPR and Artificial Intelligence, AI Agents: Why Most Pilots Never Reach Production and Digital Sovereignty in Europe.