Factory Private architecture inside your boundary

Factory Private architecture places the AI development control plane within customer-controlled VPC or on-premises infrastructure, giving organizations greater control over execution, data boundaries, and service dependencies while also requiring clear operational ownership. Effective deployment reviews should map every component, operator, connection, and data flow—including model gateways, source control, package repositories, telemetry collectors, and execution environments—because private placement of one component does not guarantee that downstream services remain private. The guidance emphasizes separately evaluating model routing, access permissions, network restrictions, sandboxing, and telemetry retention, with validation through representative tasks and negative security tests rather than assumptions. Organizations are advised to begin with a bounded pilot, limit access and data collection to what is necessary, establish upgrade, support, capacity, and recovery processes, and measure accepted work, validation failures, reviewer corrections, and operational effort before expanding deployment.

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