GDPR: personal data should not leave without control
When an employee pastes a client e-mail or a CRM export into a public chatbot, personal data goes to another party – often outside the EU and without a contractual framework the company knows about.
Gateway de-identifies personal data before anything is sent to an external model, and the hosted instance runs in the EU (Frankfurt). Data-class rules decide what may go to which model; the most sensitive data can stay with a local model. We publish the list of subprocessors on the FutuGen Gateway page.
NIS2: managing risks, including suppliers
The new Czech Cybersecurity Act (transposing the NIS2 directive) requires covered organisations to manage risks, including risks from suppliers and services they use. Unmanaged AI tools are exactly that kind of risk.
Gateway gives you a single entry point for AI: central access management, rules, budgets and an audit log of every request – material you can use in your security documentation.
AI Act: literacy and usage rules
Since February 2025, companies using AI must ensure sufficient AI literacy of their staff (Art. 4 AI Act). Besides training, it helps when the rules are built into the tool: employees use only approved models, sensitive data stays inside and management sees how AI is really used.
What Gateway does not do
Gateway is a technical measure, not a certificate. Compliance with GDPR, NIS2 and the AI Act also depends on your internal processes, risk assessment and documentation. We are happy to show you which records and settings you can use in your documentation.