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 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 →The updated terms establish new operational requirements for any organization using Amazon Connect Talent to make or inform employment decisions. Customers must now obtain legally adequate privacy notices and consents from job applicants before their data is processed by the service. The terms require customers to review all AI output before making hiring decisions, implement processes for applicants to request information about the AI's role in decisions, and ensure their use of the tool complies with applicable labor, anti-discrimination, disability, data privacy, AI, wiretap, recordkeeping, and biometrics laws. Customers can configure an AI services opt-out policy through AWS Organizations to prevent their data from being used to train or improve AWS AI technologies.
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.
How other platforms handle this
Consensys reserves the right to change, suspend, or discontinue any aspect of the Services at any time, including hours of operation or availability of the Service or any feature, without notice and without liability.
Valve reserves the right, for any reason, in its sole discretion, with or without notice, to terminate, change, suspend or discontinue any aspect of Steam, including, but not limited to, Content and Services available through Steam, as well as any features, databases, or content.
Google may add or remove functionalities or features, and we may suspend or stop a service altogether. Google may also stop providing services to you if you fail to comply with our policies or if we are investigating suspected misconduct. If we discontinue a service, where reasonably possible, we wi...
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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. There is no specific regulation directly governing model availability continuity, but the EU AI Act's documentation and auditability requirements may be indirectly affected if a compliant model is removed and replaced. (2) GOVERNANCE EXPOSURE: Medium. The clause creates operational resilience risk for enterprises with mission-critical applications tied to specific model versions, particularly where those model versions have been validated or audited for a specific regulated use case. (3) JURISDICTION FLAGS: Financial services and healthcare organizations in any jurisdiction where AI system validation or audit trails are required face heightened exposure if a validated model is discontinued, as re-validation of a replacement model may be required by sector regulators. (4) CONTRACT AND VENDOR IMPLICATIONS: Enterprise procurement teams should include model availability and deprecation notice requirements in service level discussions or enterprise support agreements, and application architects should design for model portability to reduce dependency on any single model version. (5) COMPLIANCE CONSIDERATIONS: Organizations that have conducted AI model-specific risk assessments, bias audits, or regulatory submissions referencing a specific Bedrock-hosted model should establish a process for reassessment upon receipt of deprecation notices.
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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.
No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by AWS Bedrock.