The terms state that customer prompts submitted to and outputs generated by Amazon Bedrock are not used to train the underlying foundation models made available through the service. This applies to both first-party Amazon models and third-party models accessed through Bedrock.
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 addresses a material concern for enterprise customers deploying proprietary data in AI workflows; the agreement states that customer content processed through Bedrock does not contribute to foundation model training, which is operationally significant for customers with confidentiality obligations around their data.
Interpretive note: The full scope of this provision as it applies to all model types available through Bedrock and the distinction between model training and service improvement uses requires review of the complete untruncated document.
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 this explicit guarantee that customer content won't be used for model training eliminates an important data privacy protection specific to AI services.
View full change record →Under this clause, inputs and outputs processed through Amazon Bedrock are not used to improve or retrain the foundation models available in the service. This is a contractual commitment regarding the use of customer content in model development.
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"Amazon Bedrock does not use your inputs or outputs to train the underlying models available in Amazon Bedrock.Excerpt from AWS Bedrock's AWS Service Terms
(1) REGULATORY LANDSCAPE: This provision is relevant to GDPR data minimization and purpose limitation principles where customer prompts contain personal data; the stated restriction on training use supports a narrower processing purpose claim.
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This provision addresses a material concern for enterprise customers deploying proprietary data in AI workflows; the agreement states that customer content processed through Bedrock does not contribute to foundation model training, which is operationally significant for customers with confidentiality obligations around their data.
Under this clause, inputs and outputs processed through Amazon Bedrock are not used to improve or retrain the foundation models available in the service. This is a contractual commitment regarding the use of customer content in model development.
ConductAtlas has identified this type of provision across 289 platforms. See the full comparison.
No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by AWS Bedrock.