FedRAMP AI deployment without approval shortcuts

FedRAMP AI deployment should be evaluated based on the exact named service, its current authorization status, and the full architecture of the proposed workflow rather than assumptions based on product families, GovCloud hosting, or vendor claims. As of September 18, 2026, Factory describes its FedRAMP control-plane and analytics hosting in GovCloud as authorization in progress, so organizations should obtain current, dated evidence and involve responsible agency reviewers before committing to deployment. Reviews should cover dependencies such as repositories, model services, identity systems, telemetry, scanners, and ticketing integrations, while assigning owners to unresolved questions and distinguishing commercial, private, federal, connected-cloud, and air-gapped configurations. Air-gapped deployments require customer-managed internal services and lack certain cloud-dependent capabilities, creating additional responsibilities for releases, certificates, model availability, incident response, and recovery. Organizations should validate a bounded, approved workflow with permitted data, document permissions, destinations, tests, audit evidence, and review gates, test both successful and failure scenarios, and preserve the authority’s decision for the precise production configuration rather than a broader product category.

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