AWS simplifies access to Amazon Bedrock models with managed entitlements

The AWS Machine Learning Blog published a 2026 post on managed entitlements for Amazon Bedrock. The mechanism lets organizations subscribe to a model once from a central account and then distribute access to it across all workload accounts, without extra AWS Marketplace permissions.

What problem do managed entitlements solve?

Amazon Bedrock provides access to third-party and first-party AI models through AWS Marketplace. Large organizations often run many separate AWS accounts for different teams, projects, or environments, and until now they had to configure the subscription and Marketplace permissions in each account individually. That made administration harder and risked inconsistent access across teams.

How centralized subscription works

With managed entitlements, a company subscribes to a model once from a central account and then distributes usage rights to the other accounts in the organization through AWS Organizations. There's no need to configure AWS Marketplace permissions separately in each of them.

• You subscribe to a Bedrock model once, from a central account
• Access is distributed automatically to all workload accounts in the organization
• AWS Marketplace permissions are no longer required in each individual account

For organizations with dozens of workload accounts, this removes a significant administrative burden. Previously, giving a new team access to a new model meant a separate Marketplace approval process for every account. Now it takes a single centralized setup.

What it means

AWS keeps lowering the organizational barriers between piloting AI models and deploying them company-wide. Managed entitlements for Bedrock eliminate exactly the kind of routine work that used to slow the shift from isolated experiments to a corporate standard for working with models.