Using AI models from companies like Anthropic or Meta through Bedrock means you are also legally bound by each of those companies' own separate rules — not just AWS's rules.
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
By incorporating third-party policies by reference, this clause establishes that AWS Service Terms compliance alone is insufficient; users must also satisfy separate policy requirements established by each model provider, creating a multi-layered compliance obligation.
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 →Business customers must independently track and comply with the acceptable use policies of every third-party model provider available on Bedrock — policies that can change at any time — or risk AWS service suspension.
Cross-platform context
See how other platforms handle Third-Party Model Provider Policy Incorporation by Reference and similar clauses.
Compare across platforms →"When you use third-party models available in Amazon Bedrock, you must also comply with the applicable third-party model provider's use policies. These use policies are incorporated into these Service Terms by this reference.Excerpt from AWS Bedrock's AWS Service Terms
REGULATORY FRAMEWORK: This provision creates a chain of contractual privity across multiple legal entities, implicating contract law principles in all applicable jurisdictions.
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By incorporating third-party policies by reference, this clause establishes that AWS Service Terms compliance alone is insufficient; users must also satisfy separate policy requirements established by each model provider, creating a multi-layered compliance obligation.
Business customers must independently track and comply with the acceptable use policies of every third-party model provider available on Bedrock — policies that can change at any time — or risk AWS service suspension.
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