AWS managed policies for Amazon Bedrock - Amazon Bedrock

AWS managed policies for Amazon Bedrock

To add permissions to users, groups, and roles, it's easier to use AWS managed policies than to write policies yourself. It takes time and expertise to create IAM customer managed policies that provide your team with only the permissions they need. To get started quickly, you can use our AWS managed policies. These policies cover common use cases and are available in your AWS account. For more information about AWS managed policies, see AWS managed policies in the IAM User Guide.

AWS services maintain and update AWS managed policies. You can't change the permissions in AWS managed policies. Services occasionally add additional permissions to an AWS managed policy to support new features. This type of update affects all identities (users, groups, and roles) where the policy is attached. Services are most likely to update an AWS managed policy when a new feature is launched or when new operations become available. Services do not remove permissions from an AWS managed policy, so policy updates won't break your existing permissions.

Additionally, AWS supports managed policies for job functions that span multiple services. For example, the ReadOnlyAccess AWS managed policy provides read-only access to all AWS services and resources. When a service launches a new feature, AWS adds read-only permissions for new operations and resources. For a list and descriptions of job function policies, see AWS managed policies for job functions in the IAM User Guide.

AWS managed policy: AmazonBedrockFullAccess

You can attach the AmazonBedrockFullAccess policy to your IAM identities to grant administrative permissions that allow the user permission to create, read, update, and delete Amazon Bedrock resources.

Note

Fine-tuning and model access require extra permissions. See Allow access to third-party model subscriptions and Permissions to access training and validation files and to write output files in S3 for more information.

Permissions details

This policy includes the following permissions:

  • ec2 (Amazon Elastic Compute Cloud) – Allows permissions to describe VPCs, subnets, and security groups.

  • iam (AWS Identity and Access Management) – Allows principals to pass roles, but only allows IAM roles with "Amazon Bedrock" in them to be passed to the Amazon Bedrock service. The permissions are restricted to bedrock.amazonaws.com for Amazon Bedrock operations.

  • kms (AWS Key Management Service) – Allows principals to describe AWS KMS keys and aliases.

  • bedrock (Amazon Bedrock) – Allows principals read and write access to all actions in the Amazon Bedrock control plane and runtime service.

  • sagemaker (Amazon SageMaker AI) – Allows principals to access the Amazon SageMaker AI resources in the customer's account, which serves as the foundation for the Amazon Bedrock Marketplace feature.

AWS managed policy: AmazonBedrockReadOnly

You can attach the AmazonBedrockReadOnly policy to your IAM identities to grant read-only permissions to view all resources in Amazon Bedrock.

AWS managed policy: AmazonBedrockLimitedAccess

You can attach the AmazonBedrockLimitedAccess policy to your IAM identities to allow it access to Amazon Bedrock services, AWS KMS key management, networking resources, and AWS Marketplace subscriptions for third-party foundation models. The policy includes the following statements:

  • The BedrockAPIs statement allows you to perform several operations in Amazon Bedrock including:

    • Passing the Amazon Bedrock API key when making API requests to the Amazon Bedrock service.

    • Describing information about resources.

    • Creating resources (guardrails, models, jobs).

    • Deleting resources.

    • Invoking models on all resources.

  • The DescribeKey statement allows you to view information about KMS keys across all regions and accounts, as long as the policies on the keys permit you to do so.

  • The APIsWithAllResourceAccess statement allows you to:

    • List IAM roles.

    • Describe Amazon VPC resources (VPCs, subnets, and security groups) across all resources.

  • The MarketplaceOperationsFromBedrockFor3pModels statement enables you to:

    • Subscribe to AWS Marketplace offerings.

    • View subscriptions.

    • Unsubscribe from AWS Marketplace offerings.

    Note

    The condition key aws:CalledViaLast restricts these actions to only when they are called through the Amazon Bedrock service.

AWS managed policy: AmazonBedrockMarketplaceAccess

You can attach the AmazonBedrockMarketplaceAccess policy to your IAM identities to allow it to manage and use Amazon Bedrock marketplace model endpoints with SageMaker AI integration. The policy includes the following statements:

  • The BedrockMarketplaceAPIs statement allows you to create, delete, register, deregister, and update marketplace model endpoints in Amazon Bedrock on all resources.

  • The MarketplaceModelEndpointMutatingAPIs statement allows you to create and manage SageMaker AI endpoints, endpoint configurations, and models on specified resources.

    • Use the aws:CalledViaLast condition key to ensure that these actions are only performed when called through Bedrock.

    • Use the aws:ResourceTag/sagemaker-sdk:bedrock condition key to ensure that these actions are only performed on resources tagged as Amazon Bedrock-compatible.

  • The MarketplaceModelEndpointAddTagsOperations statement allows adding specific tags to SageMaker AI endpoints, endpoint configurations, and models on specified resources.

    • Use the aws:TagKeys condition key to restrict which tags can be added

    • Use the aws:RequestTag/* condition key to ensure tag values match specified patterns

  • The MarketplaceModelEndpointDeleteTagsOperations statement allows deleting specific tags from SageMaker AI endpoints, endpoint configurations, and models on specified resources.

    • Use the aws:TagKeys condition key to restrict which tags can be deleted

    • Use the aws:ResourceTag/* condition key to ensure deleted tags match specified patterns

  • The MarketplaceModelEndpointNonMutatingAPIs statement allows viewing and describing SageMaker AI endpoints, endpoint configurations, and models on specified resources.

    • Use aws:CalledViaLast condition key to ensure actions are only performed through the Amazon Bedrock service

  • The MarketplaceModelEndpointInvokingOperations statement allows invoking SageMaker AI endpoints on specified resources.

    • Use the aws:CalledViaLast condition key to ensure actions are only performed through the Amazon Bedrock service

    • Use the aws:ResourceTag/sagemaker-sdk:bedrock condition key to ensure actions are only performed on Bedrock-compatible resources

  • The DiscoveringMarketplaceModel statement allows decribing SageMaker AI hub content on specified resources.

  • The AllowMarketplaceModelsListing statement allows listing SageMaker AI hub contents on specified resources.

  • The PassRoleToSageMaker statement allows passing IAM roles to SageMaker AI and Amazon Bedrock on specified resources.

    • Use iam:PassedToService condition key to ensure roles are only passed to specified services.

  • The PassRoleToBedrock statement allows you to pass specific IAM roles to Amazon Bedrock on specified resources.

    • Use the iam:PassedToService condition key to ensure roles are only passed to the Amazon Bedrock service.

Amazon Bedrock updates to AWS managed policies

View details about updates to AWS managed policies for Amazon Bedrock since this service began tracking these changes. For automatic alerts about changes to this page, subscribe to the RSS feed on the Document history for the Amazon Bedrock User Guide.

Change Description Date

AmazonBedrockMarketplaceAccess – New policy

Amazon Bedrock added a new policy to grant customers permissions to access Amazon Bedrock Marketplace foundation models through a SageMaker AI endpoint.

June 13, 2025

AmazonBedrockLimitedAccess – New policy

Amazon Bedrock added a new policy to grant customers basic permissions to access core actions in Amazon Bedrock.

June 13, 2025

AmazonBedrockFullAccess – Updated policy

Amazon Bedrock updated the AmazonBedrockFullAccess managed policy to grant customers the necessary permissions to create, read, update, and delete Amazon Bedrock Marketplace resources. This includes permissions to manage the underlying Amazon SageMaker AI resources, as they serve as the foundation for the Amazon Bedrock Marketplace functionality.

December 4th, 2024

AmazonBedrockReadOnly – Updated policy

Amazon Bedrock updated the AmazonBedrockReadOnly managed policy to grant customers the necessary permissions to read Amazon Bedrock Marketplace resources. This includes permissions to manage the underlying Amazon SageMaker AI resources, as they serve as the foundation for the Amazon Bedrock Marketplace functionality.

December 4th, 2024

AmazonBedrockReadOnly – Updated policy

Amazon Bedrock updated the AmazonBedrockReadOnly policy to include read-only permissions for custom model import.

October 18, 2024

AmazonBedrockReadOnly – Updated policy

Amazon Bedrock added inference profile read-only permissions.

August 27, 2024

AmazonBedrockReadOnly – Updated policy

Amazon Bedrock updated the AmazonBedrockReadOnly policy to include read-only permissions for Amazon Bedrock Guardrails, Amazon Bedrock Model evaluation, and Amazon Bedrock Batch inference.

August 21, 2024

AmazonBedrockReadOnly – Updated policy

Amazon Bedrock added batch inference (model invocation job) read-only permissions.

August 21, 2024

AmazonBedrockReadOnly – Updated policy

Amazon Bedrock updated the AmazonBedrockReadOnly policy to include read-only permissions for Amazon Bedrock Custom Model Import.

September 3, 2024

AmazonBedrockFullAccess – New policy

Amazon Bedrock added a new policy to give users permissions to create, read, update, and delete resources.

December 12, 2023

AmazonBedrockReadOnly – New policy

Amazon Bedrock added a new policy to give users read-only permissions for all actions.

December 12, 2023

Amazon Bedrock started tracking changes

Amazon Bedrock started tracking changes for its AWS managed policies.

December 12, 2023