AWS can remove or change any AI model available in Bedrock, and applications built on those models may stop working or behave differently when that happens.
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
The terms authorize AWS to discontinue specific foundation models with notice, which creates operational risk for production applications built on a specific model's capabilities, response format, or performance characteristics.
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 →Removal of this explicit right to modify or discontinue models may limit AWS's flexibility in managing model lifecycle, potentially offering greater continuity assurance to customers.
View full change record →Organizations with production applications built on specific Bedrock-hosted models should maintain architectural flexibility or fallback configurations, as the terms permit AWS to modify or remove model access with notice rather than providing guaranteed long-term availability.
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"AWS may change, discontinue, or deprecate any third-party model or Amazon model available through Amazon Bedrock at any time with notice.Excerpt from AWS Bedrock's AWS Service Terms
(1) REGULATORY LANDSCAPE: Model discontinuation could create compliance gaps where a specific model was selected because of its safety, auditability, or accuracy properties required by an applicable regulation.
Enforcement risk, jurisdiction flags, contract triggers, and due diligence action items.
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The terms authorize AWS to discontinue specific foundation models with notice, which creates operational risk for production applications built on a specific model's capabilities, response format, or performance characteristics.
Organizations with production applications built on specific Bedrock-hosted models should maintain architectural flexibility or fallback configurations, as the terms permit AWS to modify or remove model access with notice rather than providing guaranteed long-term availability.
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