You are not allowed to try to bypass or disable the safety features and content filters that AWS and model providers have built into Bedrock models.
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 impose an explicit obligation on customers not to attempt to circumvent model safety mechanisms, which applies to prompt engineering techniques, fine-tuning approaches, or system prompt configurations designed to override content policies.
Interpretive note: The boundary between permitted system prompt customization and prohibited safety circumvention is not precisely defined in the document text, creating interpretive uncertainty for advanced use cases.
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 →This new provision specifically prohibits attempts to bypass safety guardrails, addressing adversarial use patterns and jailbreak attempts not explicitly covered in the previous version.
View full change record →Customers using Bedrock must ensure that their prompt engineering, system prompt design, and fine-tuning workflows do not attempt to override safety mechanisms or content filters, as these activities are prohibited under the service terms regardless of the intended use case.
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"You must not attempt to disable, circumvent, or otherwise undermine safety mechanisms, content filters, or use policies built into the models or the Service.Excerpt from AWS Bedrock's AWS Service Terms
(1) REGULATORY LANDSCAPE: This prohibition aligns with requirements under the EU AI Act for deployers of AI systems to maintain and not undermine safety measures, and with FTC guidance on AI safety practices.
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The terms impose an explicit obligation on customers not to attempt to circumvent model safety mechanisms, which applies to prompt engineering techniques, fine-tuning approaches, or system prompt configurations designed to override content policies.
Customers using Bedrock must ensure that their prompt engineering, system prompt design, and fine-tuning workflows do not attempt to override safety mechanisms or content filters, as these activities are prohibited under the service terms regardless of the intended use case.
ConductAtlas has identified this type of provision across 142 platforms. See the full comparison.
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