How Amazon SageMaker Works with IAM

Before you use IAM to manage access to SageMaker, you should understand what IAM features are available to use with SageMaker. To get a high-level view of how SageMaker and other AWS services work with IAM, see AWS Services That Work with IAM in the IAM User Guide.

SageMaker Identity-Based Policies

With IAM identity-based policies, you can specify allowed or denied actions and resources as well as the conditions under which actions are allowed or denied. SageMaker supports specific actions, resources, and condition keys. To learn about all of the elements that you use in a JSON policy, see IAM JSON Policy Elements Reference in the IAM User Guide.

Actions

Administrators can use AWS JSON policies to specify who has access to what. That is, which principal can perform actions on what resources, and under what conditions.

The Action element of a JSON policy describes the actions that you can use to allow or deny access in a policy. Policy actions usually have the same name as the associated AWS API operation. There are some exceptions, such as permission-only actions that don't have a matching API operation. There are also some operations that require multiple actions in a policy. These additional actions are called dependent actions.

Include actions in a policy to grant permissions to perform the associated operation.

Policy actions in SageMaker use the following prefix before the action: sagemaker:. For example, to grant someone permission to run a SageMaker training job with the SageMaker CreateTrainingJob API operation, you include the sagemaker:CreateTrainingJob action in their policy. Policy statements must include either an Action or NotAction element. SageMaker defines its own set of actions that describe tasks that you can perform with this service.

To specify multiple actions in a single statement, separate them with commas as follows:

"Action": [
      "sagemaker:action1",
      "sagemaker:action2"
]

You can specify multiple actions using wildcards (*). For example, to specify all actions that begin with the word Describe, include the following action:

"Action": "sagemaker:Describe*"

To see a list of SageMaker actions, see Actions, resources, and condition keys for Amazon SageMaker in the Service Authorization Reference.

Resources

SageMaker does not support specifying resource ARNs in a policy.

Condition Keys

Administrators can use AWS JSON policies to specify who has access to what. That is, which principal can perform actions on what resources, and under what conditions.

The Condition element (or Condition block) lets you specify conditions in which a statement is in effect. The Condition element is optional. You can create conditional expressions that use condition operators, such as equals or less than, to match the condition in the policy with values in the request.

If you specify multiple Condition elements in a statement, or multiple keys in a single Condition element, AWS evaluates them using a logical AND operation. If you specify multiple values for a single condition key, AWS evaluates the condition using a logical OR operation. All of the conditions must be met before the statement's permissions are granted.

You can also use placeholder variables when you specify conditions. For example, you can grant an IAM user permission to access a resource only if it is tagged with their IAM user name. For more information, see IAM policy elements: variables and tags in the IAM User Guide.

AWS supports global condition keys and service-specific condition keys. To see all AWS global condition keys, see AWS global condition context keys in the IAM User Guide.

SageMaker defines its own set of condition keys and also supports using some global condition keys. To see all AWS global condition keys, see AWS Global Condition Context Keys in the IAM User Guide.

SageMaker supports a number of service-specific condition keys that you can use for fine-grained access control for the following operations:

• CreateProcessingJob

• CreateTrainingJob

• CreateModel

• CreateEndpointConfig

• CreateTransformJob

• CreateHyperParameterTuningJob

• CreateLabelingJob

• CreateNotebookInstance

• UpdateNotebookInstance

To see a list of SageMaker condition keys, see Condition keys for Amazon SageMaker in the IAM User Guide. To learn with which actions and resources you can use a condition key, see Actions defined by Amazon SageMaker.

For examples of using SageMaker condition keys, see the following: Control Creation of SageMaker Resources with Condition Keys.

Examples

To view examples of SageMaker identity-based policies, see Amazon SageMaker Identity-Based Policy Examples.

SageMaker Resource-Based Policies

SageMaker does not support resource-based policies.

Authorization Based on SageMaker Tags

You can attach tags to SageMaker resources or pass tags in a request to SageMaker. To control access based on tags, you provide tag information in the condition element of a policy using the sagemaker:ResourceTag/key-name, aws:RequestTag/key-name, or aws:TagKeys condition keys. For more information about tagging SageMaker resources, see Control Access to SageMaker Resources by Using Tags.

To view an example identity-based policy for limiting access to a resource based on the tags on that resource, see Control Access to SageMaker Resources by Using Tags.

SageMaker IAM Roles

An IAM role is an entity within your AWS account that has specific permissions.

Using Temporary Credentials with SageMaker

You can use temporary credentials to sign in with federation, assume an IAM role, or to assume a cross-account role. You obtain temporary security credentials by calling AWS STS API operations such as AssumeRole or GetFederationToken.

SageMaker supports using temporary credentials.

Service-Linked Roles

SageMaker partially supports service-linked roles. Service-linked roles are currently available for SageMaker Studio Classic and SageMaker training jobs.

Service Roles

This feature allows a service to assume a service role on your behalf. This role allows the service to access resources in other services to complete an action on your behalf. Service roles appear in your IAM account and are owned by the account. This means that an IAM administrator can change the permissions for this role. However, doing so might break the functionality of the service.

SageMaker supports service roles.

Choosing an IAM Role in SageMaker

When you create a notebook instance, processing job, training job, hosted endpoint, or batch transform job resource in SageMaker, you must choose a role to allow SageMaker to access SageMaker on your behalf. If you have previously created a service role or service-linked role, then SageMaker provides you with a list of roles to choose from. It's important to choose a role that allows access to the AWS operations and resources you need. For more information, see SageMaker Roles.