What happens to your data when your teams paste it into a public LLM?

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In brief.
In most companies, employees are already pasting work documents — specifications, price lists, elements of strategy — into consumer generative AI. This is shadow AI: the use of AI tools outside any framework. That data then leaves your perimeter of control: depending on the offering it may or may not be used to improve the models, but in every case it transits through a provider’s servers, often subject to foreign law. A specification reveals your strategy, your prices, your weaknesses.

Shadow AI is already here

In most organisations, employees are already using public LLMs on work documents, with good intentions and without measuring the implications. Banning does not work in the long run: the tool is too useful and too accessible. The executive’s question is not “are my teams using AI on our tenders?” (the answer is yes), but “do I control where, how and with what data?”.

Three clarifications that frame the subject

One: “your data is not used to train our models” is a guarantee about use, not about jurisdiction; the data transits and may be compelled by foreign authorities. Two: the main risk is not always training, it is the leakage of intellectual property and competitive advantage. Three: for certain sectors (defence, healthcare, public sector, operators of vital importance), leaving the European legal perimeter is a regulatory or contractual red line. The mature response combines a clear policy with a properly tooled alternative for sensitive documents.

The Optivalue.ai approach

Optivalue.ai provides that alternative: a private AI per client, deployed on-premise or on a European sovereign cloud, not pooled, with guaranteed data deletion at the end of the contract. Your files leave neither your perimeter nor your jurisdiction.


Do the enterprise offerings from LLM providers really protect you?

They protect use (no training), not jurisdiction: the data remains with a provider subject to its own national law.

How should shadow AI be handled?
Through an explicit boundary (what may go through a public LLM, what may not) and a sovereign tool for the other side of it.

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