An air gap uses physical and network separation to keep models, data and computation inside a controlled boundary. Organizations use this approach when sensitive evidence or regulated information must not leave the local environment.
Isolation changes how data, models and updates enter the system. Transfers need controlled ingestion, validation and auditable hardware boundaries, while local compute limits may require routing work to smaller models and preserving reproducible evidence inside the enclave.
Acronyms and aliases
air-gapped AI acronymoffline AI variant
General terms
Related terms
Frequently asked questions
Why run artificial intelligence in an air-gapped environment?
It reduces the risk that sensitive data will leave the controlled environment through a network connection or external service.
Can an air-gapped artificial intelligence system receive updates?
Yes, but updates must enter through a controlled, validated and auditable transfer path that does not create an unrestricted return channel.
