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 remove the explicit reference to a Data Processing Addendum governing Anthropic data transfers, though the requirement to obtain opt-in consent for Anthropic model use remains in place. For Kiro users, the revised language now explicitly states that abuse detection includes retention and potential human review of inputs and outputs when selecting certain models. Users of Anthropic models on Bedrock should verify opt-in consent mechanisms in service documentation to understand data handling practices.
View change record →The updated terms establish a new project-based service structure for AWS (new) users, effective August 17, 2026, with new rules governing team member access and content ownership. Users who enable spend limits agree that AWS may suspend their account or project access upon reaching their limit, and may permanently close the account or project if not reactivated within an unspecified timeframe. Contributed content by team members becomes the project owner's property and is subject to a nonexclusive irrevocable license granted to all project members. You can configure AI services opt-out policies through AWS Settings; project owners can manage team member permissions and access controls.
View change record →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 →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.
How other platforms handle this
If you knowingly misrepresent that any activity or material on our Services is infringing, you may be liable to ActiveCampaign for certain costs and damages.
A party's liability for any Liability under these Terms will be reduced proportionately to the extent the relevant Liability was caused or contributed to by the actions (or inactions) of the other party...
The Netflix service and/or some of the Netflix content may not be available at any time as a result of events beyond our reasonable control...we will not be held liable should such events occur.
"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 …
Enforcement risk, jurisdiction flags, contract triggers, and due diligence action items.
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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.
ConductAtlas has identified this type of provision across 284 platforms. See the full comparison.
No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by AWS Bedrock.