An on-premise deployment that keeps the model and all | AIGP
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An on-premise deployment that keeps the model and all: Considering deployment options, which choice best

AIGP Understanding How to Govern AI Deployment and Use Medium

A strict no-external-transfer rule is met by an on-premise deployment keeping data within the agency's facilities.

The question

A government agency must run an AI system where regulation forbids any citizen data from leaving its own controlled facilities. Considering deployment options, which choice best satisfies this constraint?

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  1. A public cloud deployment that runs the model on a third-party provider's shared multi-tenant infrastructure
    Public cloud sends data to an external provider, directly conflicting with the residency prohibition.
  2. A vendor-hosted API deployment where all requests are processed on the provider's remote servers
    A hosted API transmits data to the provider's servers, which the regulation forbids.
  3. A hybrid deployment that continuously replicates the citizen data to an external cloud backup
    Replicating data to an external cloud still moves it outside the agency, breaching the constraint.
  4. An on-premise deployment that keeps the model and all citizen data within the agency's own facilities ✓
    On-premise hosting keeps data inside the agency's controlled environment, satisfying the no-external-transfer rule.
The trap
Assuming a hybrid or backup arrangement is compliant when it still transfers data outside the controlled facility.

How to remember it

A strict no-external-transfer rule is met by an on-premise deployment keeping data within the agency's facilities.

How many of these would you get right?

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