Quick summary: Public AI chatbots process what you type on the provider's servers. For general questions that is fine. For contracts, source code, personal data or unreleased financials, the safer pattern is to keep that work on an AI system that runs inside your own infrastructure.
What actually happens to a prompt
When you send a prompt to a cloud AI service, the text and any attached files travel to the provider's data centre to be processed. What happens next depends on the provider, the plan and your settings: content may be logged, retained for a period, reviewed for abuse or, on some consumer plans, used to improve models. Business plans usually offer stronger terms, but the data still leaves your network.
The real-world risk
The risk is rarely a dramatic hack. It is ordinary employees pasting sensitive material into a tool the company does not control. In 2023, Samsung restricted staff use of generative AI tools after employees reportedly uploaded internal source code — a widely reported example of how quickly this happens. Other common cases: HR pasting performance reviews, sales pasting customer lists, lawyers pasting draft agreements.
Compliance adds a second layer
Data-protection laws such as GDPR in Europe and PDPA-style laws across Asia limit how personal data may be processed and transferred. Sending customer or employee data to an external AI service can require legal review, data-processing agreements and transfer assessments. Many regulated companies simply cannot do it for certain data.
A practical policy that works
Allow public AI for public information: marketing ideas, general research, coding questions without proprietary code. Route confidential work — anything with customer data, contracts, financials, health records or internal code — to an AI system that runs on hardware you control. Give people a good internal tool; a ban without an alternative only pushes usage underground.
What a safe internal setup looks like
The model runs on your own server or workstation. Documents are indexed locally. Answers cite their sources. Access is controlled by role and department, every action is logged, and any action that writes into business systems requires human approval. Ideally it can run fully offline.
How DABO AI helps
DABO AI is built for exactly this split. It runs 100% on your own machine, needs no Internet after installation, and includes role-based access control, SSO/LDAP sign-in on Max and above, encrypted document vaults that even administrators cannot read, full audit logs and approval for every data write. Employees still get a familiar chat experience, document Q&A with citations, and file generation — without the data leaving.
Frequently asked questions
Is it ever safe to use ChatGPT at work? Yes, for non-confidential tasks. The risk comes from sensitive data, not from the tool itself.
Do business plans of public AI solve the problem? They improve contractual terms, but data is still processed outside your network, which some policies and regulations do not allow.
What is the fastest way to give staff a safe option? Install a private AI such as the DABO AI Free plan on one GPU machine and point a pilot team at it.