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 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 →The updated terms establish new restrictions on how AWS Capacity Reservations may be used. Specifically, customers purchasing On-Demand Capacity Reservations can no longer resell them to other parties, and AWS reserves the right to cancel the purchase or terminate running instances if the company suspects resale activity. For Capacity Blocks for ML, the grace period before instance termination increased from 30 minutes to 60 minutes for UltraServer instance types, allowing slightly more time to complete workloads. The Amazon Sidewalk qualification program was renamed and simplified, but the underlying security and operational requirements remain in effect.
View change record →The updated terms establish a formal framework for AWS Bedrock's free exploration services, clarifying the operational boundaries and responsibilities. AWS reserves the right to discontinue these services at any time without prior notice, meaning customers cannot rely on their continuation for production planning. Customers are solely responsible for testing, deploying, and maintaining any code, documents, or AI solutions AWS provides, including determining whether those solutions comply with applicable law. AWS retains the right to develop competing products based on content it creates during these engagements, though this does not override existing non-disclosure agreements. Customers are prohibited from requiring AWS personnel to sign additional terms as a condition of receiving free services, and any such documentation signed by AWS personnel is void.
View change record →The removal of explicit guarantees about fine-tuning data ownership and non-reuse eliminates an important customer data protection specific to AI model customization.
View full 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 262 platforms. See the full comparison.
No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by AWS Bedrock.