AWS can remove or change any AI model available in Bedrock, and applications built on those models may stop working or behave differently when that happens.
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
The terms authorize AWS to discontinue specific foundation models with notice, which creates operational risk for production applications built on a specific model's capabilities, response format, or performance characteristics.
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 →Organizations with production applications built on specific Bedrock-hosted models should maintain architectural flexibility or fallback configurations, as the terms permit AWS to modify or remove model access with notice rather than providing guaranteed long-term availability.
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"AWS may change, discontinue, or deprecate any third-party model or Amazon model available through Amazon Bedrock at any time with notice.Excerpt from AWS Bedrock's AWS Service Terms
(1) REGULATORY LANDSCAPE: Model discontinuation could create compliance gaps where a specific model was selected because of its safety, auditability, or accuracy properties required by an applicable regulation.
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The terms authorize AWS to discontinue specific foundation models with notice, which creates operational risk for production applications built on a specific model's capabilities, response format, or performance characteristics.
Organizations with production applications built on specific Bedrock-hosted models should maintain architectural flexibility or fallback configurations, as the terms permit AWS to modify or remove model access with notice rather than providing guaranteed long-term availability.
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