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
Customers whose content is processed by listed AI Services should understand that such content may be used to train or improve AWS's AI technologies, which has implications for data sensitivity and confidentiality expectations.
Interpretive note: The excerpt establishes two independent data-use propositions. The canonical claim covers only the first (use of AI Content to improve the applicable AI Service). The second — use of non-personal-data AI Content to improve AWS and affiliate ML/AI technologies broadly — is recorded in omitted_material.
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 →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 →Content you submit to listed AI Services may be used and stored by AWS Bedrock for service development and improvement purposes.
How other platforms handle this
Where the law allows us to, we may use the content you and other users have posted for training or to help us to improve the way we filter content on our platform.
We may process Inputs, Outputs, and your interactions with AI Features to operate, secure, prevent fraud and abuse, and improve the Services. See our Privacy Policy for details...
We will only use your Personal Data to provide services directly to you...and/or to provide services to you on behalf of our clients...except as otherwise described in this Privacy Policy or with your consent.
"we may use and store AI Content that is processed by each of the foregoing AI Services to develop and improve the applicable AI Service and its underlying technologies; (b) we may use and store AI Content that is not personal data to develop and improve AWS and affiliate machine-learning and artificial-intelligence technologies...Excerpt from AWS Bedrock's AWS Service Terms
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Customers whose content is processed by listed AI Services should understand that such content may be used to train or improve AWS's AI technologies, which has implications for data sensitivity and confidentiality expectations.
Content you submit to listed AI Services may be used and stored by AWS Bedrock for service development and improvement purposes.
ConductAtlas has identified this type of provision across 278 platforms. See the full comparison.
No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by AWS Bedrock.