What Shadow AI is
Shadow AI is the use of artificial intelligence tools in everyday work without the company knowing about it, approving it or governing it. Someone pastes a contract into a chatbot to get a summary, someone asks an assistant to correct an email containing a customer's data, someone uses a free service to generate code from internal code. None of these actions is meant to cause harm: they happen because the tool is convenient and instantly available.
It is the same dynamic as the familiar Shadow IT, unauthorised software installed by employees, but faster and harder to spot: there is nothing to install, a browser is enough.
Why it happens, and why a ban is not enough
It almost always happens for a simple reason: the company tool, if there is one, is slower or more awkward than the free public one. People facing a deadline use what works, not what was approved three months ago in a document they never read.
A ban written into a policy, with no concrete alternative, in practice moves the problem out of sight: people keep using the same tools but stop saying so. It is the worst possible result, because at that point the company has neither control nor visibility.
The real risks
- Leaks of confidential data: what is typed into a public service may remain in its logs, and once the data has left the company, what happens to it depends on the provider's terms of service and is hard to assess.
- Third parties' personal data: pasting emails, contracts or customer lists into an unauthorised service may amount to processing of personal data that does not comply with the GDPR, whatever the intentions of the person doing it.
- Decisions based on unverified output: text generated with confidence is not necessarily correct. Figures, legal references or quotations can be invented just as naturally as genuine ones.
- Untracked dependency: if a work process ends up relying on a tool that is not on any inventory, the company loses visibility over part of its own work without even knowing it.
An approach that works: govern, don't just ban
- Map what is already in use: before writing rules, find out which tools are already being used, for what, and why. A real need that the company has not yet met often comes to light.
- Write a simple policy that can be understood without technical vocabulary: what can be shared with an AI tool, what never can (customer data, personal data, confidential information, proprietary code), and whom to ask when in doubt.
- Offer a governed alternative: a company tool with defined permissions, data that stays within the perimeter of the company or of the chosen provider, and content that is never used to train third-party models. A concrete alternative works far better than a ban.
- Track logs and permissions: who accesses what, and with which data, remains visible and verifiable.
- Train people, not only on the risks but on how to use these tools well: most problems stem from carelessness, not bad faith.
When AI becomes part of business systems
For many companies, the next step is not just governing the spontaneous use of AI but integrating it into their own systems: an assistant connected to the ERP, an automation that reads documents, a customer chatbot connected to the company knowledge base. At this point, different criteria matter: where the data used is stored, whether it is used to train third-party models, what permissions the assistant has, and whether every action is traceable and linked to a verifiable decision.
Done well, this kind of integration tackles Shadow AI at the root: if the company tool does the job well, and securely, there is no longer any point in looking for an outside one.
Quick checklist
- I know which artificial intelligence tools people in the company actually use, not just the official ones;
- there is a written, understandable policy on what can be shared with these tools;
- people have a governed company alternative, not just a ban;
- I know whether and how customers' or employees' personal data is processed with these tools;
- outputs used for important decisions are checked, not taken at face value;
- whoever integrates AI into business systems knows where the data goes and with what permissions.
In short
Shadow AI stems from a real need that the company has not yet governed, not from bad faith. Banning without offering an alternative moves the problem out of sight. What works better is a simple policy plus a governed company tool that does the same job, securely.