AWS does not guarantee that Bedrock AI model outputs will be accurate or fit for your specific use, and its financial liability for any resulting damages is capped by the broader AWS customer agreement.
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 disclaimer of output accuracy warranties and the cap on liability means that organizations relying on Bedrock outputs for business-critical or regulated decisions bear the risk of inaccurate or inappropriate model outputs, with limited contractual recourse against AWS.
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 →Removal of explicit disclaimers about model output accuracy and suitability may reflect increased confidence in model quality or shift of liability framework to standard AWS Customer Agreement terms.
View full change record →Organizations using Bedrock outputs for consequential business decisions, medical, legal, or financial advice, or regulated applications should implement independent verification mechanisms, as the terms disclaim AWS's responsibility for output accuracy and cap financial liability under the broader customer agreement.
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"AWS does not warrant that outputs generated by Amazon Bedrock models will be accurate, complete, or suitable for any particular purpose. AWS's liability for any damages arising from your use of Amazon Bedrock is limited as set forth in the AWS Customer Agreement.— Excerpt from AWS Bedrock's AWS Service Terms
(1) REGULATORY LANDSCAPE: Limitation of liability clauses in AI service agreements interact with the EU AI Act's requirements for deployers of high-risk AI systems to maintain appropriate human oversight, which effectively places the risk of AI output errors on the deploying organization regardless of the supplier's liability limitations. Consumer protection laws in some jurisdictions may constrain the enforceability of broad liability limitations where AI outputs cause consumer harm. (2) GOVERNANCE EXPOSURE: High for organizations in regulated industries. The combination of no accuracy warranty and capped liability means that consequential decisions based on Bedrock outputs create financial and regulatory exposure for the customer organization that is not backstopped by contractual recourse against AWS. (3) JURISDICTION FLAGS: EU consumer protection law and the EU AI Act create heightened deployer obligations that effectively shift liability to the deploying organization rather than the AI infrastructure provider, consistent with this clause's allocation. UK and US consumer protection frameworks may partially constrain broad liability limitations in certain contexts. (4) CONTRACT AND VENDOR IMPLICATIONS: Enterprise customers should factor the absence of accuracy warranties into AI risk assessments and ensure that human review processes are in place for any consequential decisions informed by Bedrock outputs. Procurement teams should not treat AWS compliance certifications as covering the accuracy or reliability of specific model outputs. (5) COMPLIANCE CONSIDERATIONS: Organizations subject to EU AI Act, financial services, healthcare, or other sector regulations should establish human oversight protocols for Bedrock output review and document these controls as part of their AI governance frameworks, recognizing that contractual recourse against AWS for inaccurate outputs is limited.
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The disclaimer of output accuracy warranties and the cap on liability means that organizations relying on Bedrock outputs for business-critical or regulated decisions bear the risk of inaccurate or inappropriate model outputs, with limited contractual recourse against AWS.
Organizations using Bedrock outputs for consequential business decisions, medical, legal, or financial advice, or regulated applications should implement independent verification mechanisms, as the terms disclaim AWS's responsibility for output accuracy and cap financial liability under the broader customer agreement.
No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by AWS Bedrock.