When you use AI models from companies other than Amazon in Bedrock, you are also agreeing to that external company's own terms of service, not just AWS's terms.
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
Customers using third-party foundation models through Bedrock are bound by an additional, separate layer of terms from the model provider, which may impose different restrictions on output use, data handling, or permitted applications that are not visible within the primary AWS Service Terms.
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 →Accessing third-party models such as Anthropic Claude, Meta Llama, or Cohere models through Bedrock automatically binds the customer to that model provider's terms, which may include restrictions on use cases, output sharing, or data submission that differ from AWS's own terms.
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"Third-party models available through Amazon Bedrock are provided pursuant to the relevant third-party model provider's terms. By using those models, you agree to the applicable model provider terms.Excerpt from AWS Bedrock's AWS Service Terms
(1) REGULATORY LANDSCAPE: The incorporation by reference of third-party model provider terms creates a layered contractual structure that compliance teams must track separately for each model provider used.
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Customers using third-party foundation models through Bedrock are bound by an additional, separate layer of terms from the model provider, which may impose different restrictions on output use, data handling, or permitted applications that are not visible within the primary AWS Service Terms.
Accessing third-party models such as Anthropic Claude, Meta Llama, or Cohere models through Bedrock automatically binds the customer to that model provider's terms, which may include restrictions on use cases, output sharing, or data submission that differ from AWS's own terms.
ConductAtlas has identified this type of provision across 295 platforms. See the full comparison.
No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by AWS Bedrock.