If you create a customized AI model using Bedrock's fine-tuning tools, you own that customized model but AWS retains ownership of the underlying base model it was built on.
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 IP allocation in this provision determines what proprietary AI assets a customer can claim ownership of after investing in model customization on Bedrock, and clarifies that the underlying foundation model weights remain AWS's property regardless of customer investment in fine-tuning.
Interpretive note: The practical portability of customer-owned fine-tuned models outside the Bedrock environment is not fully addressed in the provision, and the legal framework for AI model IP ownership remains unsettled in many jurisdictions.
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 updated terms establish new data-sharing mechanisms for users of Anthropic models on Amazon Bedrock. Specifically, AWS now explicitly authorizes notification to Anthropic of metadata present in requests sent to certain Anthropic products (e.g., Claude Code, computer use features), enabling Anthropic to conduct product-level usage attribution. Additionally, the terms introduce AWS WAF AI traffic monetization, which permits AWS to facilitate payment transactions between content publishers and buyers by sharing pricing, payment, and configuration information with payment providers and facilitators; the updated terms clarify that AWS does not provide regulated financial services and is not a party to fund flows, and that users' interactions with payment providers are governed by separate terms between the user and those parties. Users employing these features should review what metadata may be embedded in their requests and understand their own obligations to payment providers.
View change record →The updated terms establish that customers operating Amazon RDS databases on end-of-life software versions are now required to upgrade to supported versions. The agreement authorizes AWS to scan extension code used with Trusted Language Extensions for security and performance purposes, and establishes that extension code constitutes customer content. AWS disclaims responsibility for service failures caused by extensions or end-of-life database software. If a customer does not upgrade before an engine reaches end of life, AWS may snapshot the customer's data and delete the instance or cluster running the unsupported software, after providing prior notice of the engine end-of-life date.
View change record →Shifted from broad ownership of submitted content and model outputs to specific ownership of fine-tuned custom models only, with explicit clarification that AWS retains foundation model rights.
View full change record →Organizations investing in fine-tuning foundation models through Bedrock receive ownership rights in the resulting custom model but not in the base foundation model weights, which affects the portability, licensing, and value of AI assets developed on the platform.
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"As between you and AWS, you own the custom models you create using Amazon Bedrock fine-tuning features. AWS retains all rights in the underlying foundation models and model weights.— Excerpt from AWS Bedrock's AWS Service Terms
(1) REGULATORY LANDSCAPE: IP ownership allocations in AI model development are an emerging legal area without fully settled frameworks in most jurisdictions. The EU AI Act's transparency and documentation requirements for AI systems may apply to customer-owned fine-tuned models deployed in high-risk contexts, independent of the underlying IP ownership structure. Copyright law questions around AI-generated content and training data remain subject to active litigation and regulatory guidance in the US and EU. (2) GOVERNANCE EXPOSURE: Medium. The distinction between customer-owned custom models and AWS-owned foundation model weights is clear in the document, but the portability of customer-owned fine-tuned models outside of the Bedrock environment may be practically constrained by technical dependencies on the underlying AWS-owned model infrastructure. (3) JURISDICTION FLAGS: EU intellectual property and data rights frameworks may interact with this allocation in ways that create additional rights for EU-based customers, particularly regarding access to and portability of model configurations. (4) CONTRACT AND VENDOR IMPLICATIONS: Enterprise customers investing significantly in model fine-tuning should confirm the operational portability of their custom models, including whether the fine-tuned model weights can be exported from the AWS environment, before treating those models as portable IP assets in business continuity or acquisition scenarios. (5) COMPLIANCE CONSIDERATIONS: Legal teams should review whether the customer-owned fine-tuned model classification triggers any additional documentation, audit, or registration obligations under applicable AI governance frameworks, particularly in the EU context.
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The IP allocation in this provision determines what proprietary AI assets a customer can claim ownership of after investing in model customization on Bedrock, and clarifies that the underlying foundation model weights remain AWS's property regardless of customer investment in fine-tuning.
Organizations investing in fine-tuning foundation models through Bedrock receive ownership rights in the resulting custom model but not in the base foundation model weights, which affects the portability, licensing, and value of AI assets developed on the platform.
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