Security is not a feature — it is the foundation of the architecture.
Data sovereignty is not a setting bolted on afterwards; it is the design of the system itself. Data never leaves the organization's boundary — we guarantee this through configuration, monitoring, and verification.
Zero external data egress
The system is configured to a closed-network rule: TLS/SSL, access logs, and confirmation that no data is sent to any external service. Conversations, documents, and code stay within the organization's boundary.
Access control
Local accounts and role definitions; LDAP/AD integration on request. Role-based information isolation: only HR sees the HR document, only legal sees the regulation.
Monitoring & logging
Resource usage, response time, query and active-user counts, and error logs in the organization's panel. Who accessed what is tracked — auditability stays within the organization's own policy.
Data integrity
Data analysis runs over a read-only connection (no write access is granted). Strict guardrails on externally exposed chatbots; static analysis before compilation is mandatory for generated code.
Air-gapped deployment: three phases
In the strictest scenario, the system is fully isolated from the internet (an air gap). Installation is carried out in three phases, with no data ever leaving the boundary:
| Phase | Environment | Contents |
|---|---|---|
| 1 · Preparation | With internet access (on the DC NEXTGEN side) | Docker images are pulled into a local registry; model weights and packages are placed in an offline cache. |
| 2 · Installation | On the closed network (the organization's site) | Operating system + Docker + GPU toolkit; all services via docker-compose; reverse proxy + TLS. |
| 3 · Verification | On the closed network | Model response tests, LDAP/AD test, performance test, monitoring panel, and confirmation of zero data egress to external services. |
Because data does not leave the country, the cross-border transfer problem is largely eliminated; and because processing stays under the organization's control, accountability and data minimization are easier to demonstrate.
The honest limit: the technical infrastructure is compliant; the organization is the data controller, and legal assessment is the organization's responsibility.