The terms state that fine-tuning datasets and custom models created by customers using Bedrock's fine-tuning capabilities remain customer content and are not used by AWS to train models made available to other customers. AWS treats these assets as customer content subject to the standard AWS Customer Agreement content provisions.
This analysis describes what AWS Bedrock's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology
This provision establishes data isolation protections for customers who invest in fine-tuning foundation models with proprietary datasets through Bedrock; it is operationally significant for organizations that use proprietary training data that may constitute trade secrets or competitively sensitive information.
Interpretive note: The scope of the isolation commitment as applied to all fine-tuning methods, model artifacts, and AWS infrastructure components requires review of the complete untruncated document and associated Bedrock technical documentation.
The updated terms remove the explicit reference to a Data Processing Addendum governing Anthropic data transfers, though the requirement to obtain opt-in consent for Anthropic model use remains in place. For Kiro users, the revised language now explicitly states that abuse detection includes retention and potential human review of inputs and outputs when selecting certain models. Users of Anthropic models on Bedrock should verify opt-in consent mechanisms in service documentation to understand data handling practices.
View change record →The updated terms establish a new project-based service structure for AWS (new) users, effective August 17, 2026, with new rules governing team member access and content ownership. Users who enable spend limits agree that AWS may suspend their account or project access upon reaching their limit, and may permanently close the account or project if not reactivated within an unspecified timeframe. Contributed content by team members becomes the project owner's property and is subject to a nonexclusive irrevocable license granted to all project members. You can configure AI services opt-out policies through AWS Settings; project owners can manage team member permissions and access controls.
View change record →The updated terms now explicitly state that AWS IoT SiteWise Scenario Discovery is not designed for real-time vehicle control and cannot be used as the sole basis for determining vehicle safety or regulatory compliance. Organizations deploying this service must implement independent human monitoring and safety validation before using its outputs to support vehicle system decisions. The terms make clear that AWS assumes no responsibility for uses that violate these constraints.
View change record →Under this clause, customers retain ownership of fine-tuning datasets and custom models created through Bedrock, and these assets are not accessible to or used in training models for other AWS customers. This is a data isolation commitment relevant to customers building proprietary AI capabilities on the Bedrock platform.
How other platforms handle this
Microsoft reserves the right to restrict the export of data that may compromise the security of the services or Microsoft's intellectual property.
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"Your fine-tuning data and custom models created using Amazon Bedrock remain your content. AWS will not use your fine-tuning data or custom models to train models that are made available to other AWS customers.Excerpt from AWS Bedrock's AWS Service Terms
(1) REGULATORY LANDSCAPE: This provision is relevant to GDPR and CCPA where fine-tuning datasets contain personal data; the stated isolation of customer fine-tuning data supports a narrower data processing purpose claim.
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This provision establishes data isolation protections for customers who invest in fine-tuning foundation models with proprietary datasets through Bedrock; it is operationally significant for organizations that use proprietary training data that may constitute trade secrets or competitively sensitive information.
Under this clause, customers retain ownership of fine-tuning datasets and custom models created through Bedrock, and these assets are not accessible to or used in training models for other AWS customers. This is a data isolation commitment relevant to customers building proprietary AI capabilities on the Bedrock platform.
ConductAtlas has identified this type of provision across 263 platforms. See the full comparison.
No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by AWS Bedrock.