Databricks launches Unity Gateway to govern AI usage
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Databricks introduced Unity Gateway for public sector agencies, designed to centrally control which models, coding agents, MCPs, and AI tools are available and who can use them before adopting AI at scale. New models are not exposed to all users by default. The platform supports spending caps by user, team, or use case and tracks every request; Smart Routing can direct tasks to lower-cost models. Databricks says data residency for its hosted foundation models is managed by geographic region, and administrators can require requests to be processed within the workspace's geographic region; if a model is unavailable in that region, administrators can choose to allow processing elsewhere.
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- Databricks BlogHow public sector organizations can govern AI at scale
Databricks outlines why public sector AI projects stall on governance questions—model access, data residency, and spend visibility—and describes how its Unity Gateway provides centralized controls over which models, coding agents, and tools teams can use, with per-user or per-team spending caps, platform-level compliance policies, and geographic data residency for hosted foundation models. The piece argues that agencies which solve governance centrally before scaling adoption can match each mission to an appropriate model while keeping data, users, and budgets under control.
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