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 commitment directly addresses one of the most significant concerns businesses have when using cloud AI platforms: whether their proprietary data, customer information, or trade secrets could end up improving a shared AI model accessible to competitors.
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.
This change introduces a new optional service feature rather than modifying existing consumer rights or obligations. AWS explicitly disclaims providing regulated financial services, holding custody o…
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.
How other platforms handle this
When you use AI features of the Services, you acknowledge that your inputs may be processed by third-party AI providers. ClickUp may use anonymized and aggregated data derived from your use of the Services to improve and train AI models and features.
Writer does not use Customer Data to train its AI models without explicit customer permission. Customer Data means the data, content, and information that customers and their end users submit to or through the Services.
We may use the content you provide to us, including prompts and generated images, to train and improve our AI models and services.
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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. It also interacts with CCPA business purpose limitations on data use by service providers. The FTC's oversight of deceptive data practices is relevant; this commitment constitutes a material representation that, if violated, could support an unfair or deceptive practice claim. Relevant enforcement authority includes the FTC and EU supervisory authorities under GDPR. GOVERNANCE EXPOSURE: Medium. While the commitment is clearly stated, the document does not describe technical enforcement mechanisms, audit rights for customers, or consequences for breach beyond general contract remedies. Compliance teams should note that this commitment applies to AWS-operated infrastructure but the document indicates it does not extend to third-party model providers accessible through Bedrock. JURISDICTION FLAGS: EU/EEA customers will want to confirm this commitment is reflected in the AWS Data Processing Addendum and that it satisfies Article 28 GDPR processor obligations regarding restrictions on data use. California businesses should confirm this aligns with their CCPA service provider agreements. Customers in sectors with heightened data sensitivity (healthcare, finance, legal) face the greatest exposure if this commitment were not honored. CONTRACT AND VENDOR IMPLICATIONS: Procurement teams should verify that this commitment is incorporated by reference into the applicable DPA or master agreement, not only in service-level terms that AWS may update unilaterally. The absence of audit rights related to this commitment is a standard gap in cloud provider agreements but may be a negotiation point for enterprise customers. COMPLIANCE CONSIDERATIONS: Compliance teams should document this commitment in their AI vendor risk assessments and note its scope limitation to AWS's own models. Internal AI governance policies should specify that the no-training commitment does not apply when using third-party models through Bedrock, and separate data governance controls should be applied in those contexts.
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How 10 AI platforms describe the use of user data for model training, improvement, and development, based on archived governance provisions.
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This commitment directly addresses one of the most significant concerns businesses have when using cloud AI platforms: whether their proprietary data, customer information, or trade secrets could end up improving a shared AI model accessible to competitors.
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.
No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by AWS Bedrock.