AWS promises it will not use the data you send to Bedrock, including your prompts and AI outputs, to train its own AI models.
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 clause defines a specific boundary on AWS's permitted uses of customer data within the Bedrock service. It establishes that model improvement through customer content training is excluded from AWS's operational scope for this service.
Interpretive note: The commitment's scope relative to third-party model providers and its enforceability mechanism are not fully detailed in the visible document text.
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 →Your inputs and outputs in Amazon Bedrock will not be used by AWS to train foundation models, providing a meaningful baseline protection for proprietary business data processed through the platform.
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"We will not use Your Content to train the underlying models that are made available to you in Amazon Bedrock.Excerpt from AWS Bedrock's AWS Service Terms
REGULATORY LANDSCAPE: This commitment engages GDPR principles of purpose limitation, as it constrains how AWS may use customer personal data transmitted through the service.
Enforcement risk, jurisdiction flags, contract triggers, and due diligence action items.
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This clause defines a specific boundary on AWS's permitted uses of customer data within the Bedrock service. It establishes that model improvement through customer content training is excluded from AWS's operational scope for this service.
Your inputs and outputs in Amazon Bedrock will not be used by AWS to train foundation models, providing a meaningful baseline protection for proprietary business data processed through the platform.
ConductAtlas has identified this type of provision across 216 platforms. See the full comparison.
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