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Data Sovereignty: why keeping AI inside your perimeter matters

Risks of sending corporate data to public LLMs and how on-premise FlyAI deployment closes them.

Updated: 2025-06-15
securitydatacomplianceon-premise

Data Sovereignty in the LLM era

When your employee pastes a contract clause, a CRM export or an internal policy into ChatGPT, that data physically leaves your company, your country and your jurisdiction.

What actually happens

  1. Text is sent to provider servers (US, EU, Singapore).
  2. By default, public model providers may use the data for training.
  3. Request logs are kept 30+ days.
  4. They are accessible to provider staff and any regulator of the hosting country.

What on-premise FlyAI changes

  • The model runs in your DC or on a VPS in Belarus.
  • All requests stay inside your network.
  • The audit log is fully under your control.
  • Compliance with the OAC of Belarus and Personal Data Protection Law.

Data that should never go to public LLMs

  • Personal data (names, IDs, contacts).
  • Trade secrets (deals, contracts, finance).
  • Internal procedures.
  • Source code of proprietary systems.

Architecture

FlyAI ships in three modes:

  • On-premise — on the customer's hardware, fully isolated.
  • Private VPS — dedicated server in Belarus, full-disk encryption.
  • Hybrid — sensitive data local, public requests routed to cloud LLMs.

ROI

On-premise typically pays back in 12–18 months vs cloud-LLM subscriptions at volumes of 10M+ tokens per month.

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