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Databricks AI

Databricks · Model API · US · www.databricks.com

Last verified 2026-09-16
Entry services/databricks-ai.yaml
Training on your data (default tier)
For paid accounts, Model Serving inputs and outputs are not used to train models or improve Databricks services
Retention
Foundation Model API inputs and outputs may be stored up to 30 days in the workspace region for abuse detection; partner model providers may retain for safety
Data residency
Foundation Model APIs are a Designated Service bound to the workspace Geo; cross-Geo processing is a configurable admin setting

Vendor data-handling terms

Training on your data (default tier)
For paid accounts, Model Serving inputs and outputs are not used to train models or improve Databricks services
For all paid accounts, Model Serving does not use user inputs submitted to the service or outputs from the service to train any models or improve any Databricks services.
checked 2026-09-16
Deploy models using Model Serving, Databricks on AWS
Retention
Foundation Model API inputs and outputs may be stored up to 30 days in the workspace region for abuse detection; partner model providers may retain for safety
Your inputs and outputs are isolated from those of other customers, stored in the same region as your workspace for up to thirty (30) days, and only accessible for detecting and responding to security or abuse concerns. / Partner model providers may retain data for safety purposes.
checked 2026-09-16
Deploy models using Model Serving, Databricks on AWS
Data residency
Foundation Model APIs are a Designated Service bound to the workspace Geo; cross-Geo processing is a configurable admin setting

The Databricks Geos article states cross-Geo processing is enabled by default for workspaces in Geos outside the US and EU without a compliance security profile.

Foundation Model APIs is a Databricks Designated Service , which means that it uses Databricks Geos to manage data residency when processing customer content.
checked 2026-09-16
Databricks Foundation Model APIs, Databricks on AWS

Domains and endpoints

observed means seen in Unseen deployments; vendor-documented means listed by the vendor. Vendors do not publish complete lists.

HostRoleSource
api.databricks.comapiobserved

Assessment

Paid workspaces: low

Reasoning: Model serving and foundation model APIs inside a customer's Databricks workspace. No training on inputs for paid accounts, 30-day abuse-review retention in the workspace region, and Geo-bound processing that admins can loosen. Partner-hosted models (OpenAI, Anthropic) add their own safety retention.

Flags: Geo-bound processing, admin-configurable · Partner model retention applies · Assessed 2026-09-16. The assessment is Unseen's; the terms above are the vendor's.

Changelog

  • 2026-09-16Documented. Training, retention and residency terms verified against the Databricks Model Serving and Foundation Model APIs documentation.
  • 2026-09-15Listed from the Unseen catalogue with observed domains.

Corrections

Pull request on GitHub, or the form below. Changes are reviewed and recorded in the changelog.

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