An open-source model the team can self-host and inspect: Which profile best satisfies all three constraints?
An open-source, locally self-hosted model meets the inspection, air-gap, and data-residency constraints simultaneously.
The question
A defense contractor needs an AI model that must run inside an air-gapped facility, that its own engineers can fully inspect and modify, with no data leaving the premises. It is choosing among model-type profiles for the deployment. Which profile best satisfies all three constraints?
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- An open-source model the team can self-host and inspect, deployed locally so that no data is transmitted beyond the air-gapped facility. ✓Correct because open-source weights allow full inspection and modification, and local self-hosting satisfies the air-gap and data-residency constraints together.
- A proprietary closed model accessed through the vendor's cloud API, chosen for its strong benchmark scores and managed reliability guarantees.Plausible for performance, but a cloud API breaks the air-gap and data-residency constraints and prevents full internal inspection.
- A proprietary closed model licensed as a black box for on-premise use, where the vendor withholds the weights and internal architecture.Plausible because it is on-premise, but withheld weights defeat the requirement that engineers fully inspect and modify the model.
- A hosted multimodal model that streams telemetry to the vendor for continuous improvement, chosen for its broad input-handling capabilities.Plausible for capability, but streaming telemetry externally violates the no-data-leaves-premises and air-gap constraints outright.
The trap
Assuming an on-premise deployment automatically grants the ability to inspect and modify the model. How to remember it
An open-source, locally self-hosted model meets the inspection, air-gap, and data-residency constraints simultaneously.
How many of these would you get right?
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Every answer, right and wrong, comes with its own explanation.