Amazon managed policies for Amazon SageMaker AI
To add permissions to users, groups, and roles, it is easier to use Amazon 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 Amazon managed policies. These policies cover common use cases and are available in your Amazon account. For more information about Amazon managed policies, see Amazon managed policies in the IAM User Guide.
Amazon services maintain and update Amazon managed policies. You can't change the permissions in Amazon managed policies. Services occasionally add additional permissions to an Amazon managed policy to support new features. This type of update affects all identities (users, groups, and roles) to which the policy is attached. Services are most likely to update an Amazon managed policy when a new feature is launched or when new operations become available. Services do not remove permissions from an Amazon managed policy, so policy updates won't break your existing permissions.
Additionally, Amazon supports managed policies for job functions that span multiple services.
For example, the ReadOnlyAccess Amazon managed policy provides read-only access to
all Amazon services and resources. When a service launches a new feature, Amazon adds read-only
permissions for new operations and resources. For a list and descriptions of job function
policies, see Amazon managed policies for job
functions in the IAM User Guide.
Important
We recommend that you use the most restricted policy that allows you to perform your use case.
The following Amazon managed policies, which you can attach to users in your account, are specific to Amazon SageMaker AI:
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AmazonSageMakerFullAccess– Grants full access to Amazon SageMaker AI and SageMaker AI geospatial resources and the supported operations. This does not provide unrestricted Amazon S3 access, but supports buckets and objects with specificsagemakertags. This policy allows all IAM roles to be passed to Amazon SageMaker AI, but only allows IAM roles with "AmazonSageMaker" in them to be passed to the Amazon Glue, Amazon Step Functions, and Amazon RoboMaker services. -
AmazonSageMakerReadOnly– Grants read-only access to Amazon SageMaker AI resources.
The following Amazon managed policies can be attached to users in your account but are not recommended:
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AdministratorAccess– Grants all actions for all Amazon services and for all resources in the account. -
DataScientist– Grants a wide range of permissions to cover most of the use cases (primarily for analytics and business intelligence) encountered by data scientists.
You can review these permissions policies by signing in to the IAM console and searching for them.
You can also create your own custom IAM policies to allow permissions for Amazon SageMaker AI actions and resources as you need them. You can attach these custom policies to the users or groups that require them.
Topics
Amazon managed policy: AmazonSageMakerFullAccess
This policy grants administrative permissions that allow a principal full access to all Amazon SageMaker AI and SageMaker AI geospatial resources and operations. The policy also provides select access to related services. This policy allows all IAM roles to be passed to Amazon SageMaker AI, but only allows IAM roles with "AmazonSageMaker" in them to be passed to the Amazon Glue, Amazon Step Functions, and Amazon RoboMaker services. This policy does not include permissions to create an Amazon SageMaker AI domain. For information on the policy needed to create a domain, see Complete Amazon SageMaker AI prerequisites.
Permissions details
This policy includes the following permissions.
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application-autoscaling– Allows principals to automatically scale a SageMaker AI real-time inference endpoint. -
athena– Allows principals to query a list of data catalogs, databases, and table metadata from Amazon Athena. -
aws-marketplace– Allows principals to view Amazon AI Marketplace subscriptions. You need this if you want to access SageMaker AI software subscribed in Amazon Web Services Marketplace. -
cloudformation– Allows principals to get Amazon CloudFormation templates for using SageMaker AI JumpStart solutions and Pipelines. SageMaker AI JumpStart creates resources necessary to run end-to-end machine learning solutions that tie SageMaker AI to other Amazon services. SageMaker AI Pipelines creates new projects that are backed by Service Catalog. -
cloudwatch– Allows principals to post CloudWatch metrics, interact with alarms, and upload logs to CloudWatch Logs in your account. -
codebuild– Allows principals to store Amazon CodeBuild artifacts for SageMaker AI Pipeline and Projects. -
codecommit– Needed for Amazon CodeCommit integration with SageMaker AI notebook instances. -
cognito-idp– Needed for Amazon SageMaker Ground Truth to define private workforce and work teams. -
ec2– Needed for SageMaker AI to manage Amazon EC2 resources and network interfaces when you specify an Amazon VPC for your SageMaker AI jobs, models, endpoints, and notebook instances. -
ecr– Needed to pull and store Docker artifacts for Amazon SageMaker Studio Classic (custom images), training, processing, batch inference, and inference endpoints. This is also required to use your own container in SageMaker AI. Additional permissions for SageMaker AI JumpStart solutions are required to create and remove custom images on behalf of users. -
elasticfilesystem– Allows principals to access Amazon Elastic File System. This is needed for SageMaker AI to use data sources in Amazon Elastic File System for training machine learning models. -
fsx– Allows principals to access Amazon FSx. This is needed for SageMaker AI to use data sources in Amazon FSx for training machine learning models. -
glue– Needed for inference pipeline pre-processing from within SageMaker AI notebook instances. -
groundtruthlabeling– Needed for Ground Truth labeling jobs. Thegroundtruthlabelingendpoint is accessed by the Ground Truth console. -
iam– Needed to give the SageMaker AI console access to available IAM roles and create service-linked roles. -
kms– Needed to give the SageMaker AI console access to available Amazon KMS keys and retrieve them for any specified Amazon KMS aliases in jobs and endpoints. -
lambda– Allows principals to invoke and get a list of Amazon Lambda functions. -
logs– Needed to allow SageMaker AI jobs and endpoints to publish log streams. -
redshift– Allows principals to access Amazon Redshift cluster credentials. -
redshift-data– Allows principals to use data from Amazon Redshift to run, describe, and cancel statements; get statement results; and list schemas and tables. -
robomaker– Allows principals to have full access to create, get descriptions, and delete Amazon RoboMaker simulation applications and jobs. This is also needed to run reinforcement learning examples on notebook instances. -
s3, s3express– Allows principals to have full access to Amazon S3 and Amazon S3 Express resources pertaining to SageMaker AI, but not all of Amazon S3 or Amazon S3 Express. -
sagemaker– Allows principals to list tags on SageMaker AI user profiles, and add tags to SageMaker AI apps and spaces. Allows access only to SageMaker AI flow-definitions of sagemaker:WorkteamType "private-crowd" or "vendor-crowd". Allows the use and description of SageMaker AI training plans and reserved capacity in SageMaker training jobs, and SageMaker HyperPod clusters, across all Amazon Regions where the training plans feature is accessible. -
sagemakerandsagemaker-geospatial– Allows principals read-only access to SageMaker AI domains and user profiles. -
secretsmanager– Allows principals to have full access to Amazon Secrets Manager. The principals can securely encrypt, store, and retrieve credentials for databases and other services. This is also needed for SageMaker AI notebook instances with SageMaker AI code repositories that use GitHub. -
servicecatalog– Allows principals to use Service Catalog. The principals can create, get a list of, update, or terminate provisioned products, such as servers, databases, websites, or applications deployed using Amazon resources. This is needed for SageMaker AI JumpStart and Projects to find and read service catalog products and launch Amazon resources in users. -
sns– Allows principals to get a list of Amazon SNS topics. This is needed for endpoints with Async Inference enabled for notifying users that their inference has completed. -
states– Needed for SageMaker AI JumpStart and Pipelines to use a service catalog to create step function resources. -
tag– Needed for SageMaker AI Pipelines to render in Studio Classic. Studio Classic needs resources tagged with particularsagemaker:project-idtag-key. This requires thetag:GetResourcespermission.
{ "Version": "2012-10-17", "Statement": [ { "Sid": "AllowAllNonAdminSageMakerActions", "Effect": "Allow", "Action": [ "sagemaker:*", "sagemaker-geospatial:*" ], "NotResource": [ "arn:aws:sagemaker:*:*:domain/*", "arn:aws:sagemaker:*:*:user-profile/*", "arn:aws:sagemaker:*:*:app/*", "arn:aws:sagemaker:*:*:space/*", "arn:aws:sagemaker:*:*:partner-app/*", "arn:aws:sagemaker:*:*:flow-definition/*", "arn:aws:sagemaker:*:*:training-plan/*", "arn:aws:sagemaker:*:*:reserved-capacity/*" ] }, { "Sid": "AllowAddTagsForSpace", "Effect": "Allow", "Action": [ "sagemaker:AddTags" ], "Resource": [ "arn:aws:sagemaker:*:*:space/*" ], "Condition": { "StringEquals": { "sagemaker:TaggingAction": "CreateSpace" } } }, { "Sid": "AllowAddTagsForApp", "Effect": "Allow", "Action": [ "sagemaker:AddTags" ], "Resource": [ "arn:aws:sagemaker:*:*:app/*" ] }, { "Sid": "AllowUseOfTrainingPlanResources", "Effect": "Allow", "Action": [ "sagemaker:CreateTrainingJob", "sagemaker:CreateCluster", "sagemaker:UpdateCluster", "sagemaker:DescribeTrainingPlan" ], "Resource": [ "arn:aws:sagemaker:*:*:training-plan/*", "arn:aws:sagemaker:*:*:reserved-capacity/*" ] }, { "Sid": "AllowStudioActions", "Effect": "Allow", "Action": [ "sagemaker:CreatePresignedDomainUrl", "sagemaker:DescribeDomain", "sagemaker:ListDomains", "sagemaker:DescribeUserProfile", "sagemaker:ListUserProfiles", "sagemaker:DescribeSpace", "sagemaker:ListSpaces", "sagemaker:DescribeApp", "sagemaker:ListApps" ], "Resource": "*" }, { "Sid": "AllowAppActionsForUserProfile", "Effect": "Allow", "Action": [ "sagemaker:CreateApp", "sagemaker:DeleteApp" ], "Resource": "arn:aws:sagemaker:*:*:app/*/*/*/*", "Condition": { "Null": { "sagemaker:OwnerUserProfileArn": "true" } } }, { "Sid": "AllowAppActionsForSharedSpaces", "Effect": "Allow", "Action": [ "sagemaker:CreateApp", "sagemaker:DeleteApp" ], "Resource": "arn:aws:sagemaker:*:*:app/${sagemaker:DomainId}/*/*/*", "Condition": { "StringEquals": { "sagemaker:SpaceSharingType": [ "Shared" ] } } }, { "Sid": "AllowMutatingActionsOnSharedSpacesWithoutOwner", "Effect": "Allow", "Action": [ "sagemaker:CreateSpace", "sagemaker:UpdateSpace", "sagemaker:DeleteSpace" ], "Resource": "arn:aws:sagemaker:*:*:space/${sagemaker:DomainId}/*", "Condition": { "Null": { "sagemaker:OwnerUserProfileArn": "true" } } }, { "Sid": "RestrictMutatingActionsOnSpacesToOwnerUserProfile", "Effect": "Allow", "Action": [ "sagemaker:CreateSpace", "sagemaker:UpdateSpace", "sagemaker:DeleteSpace" ], "Resource": "arn:aws:sagemaker:*:*:space/${sagemaker:DomainId}/*", "Condition": { "ArnLike": { "sagemaker:OwnerUserProfileArn": "arn:aws:sagemaker:*:*:user-profile/${sagemaker:DomainId}/${sagemaker:UserProfileName}" }, "StringEquals": { "sagemaker:SpaceSharingType": [ "Private", "Shared" ] } } }, { "Sid": "RestrictMutatingActionsOnPrivateSpaceAppsToOwnerUserProfile", "Effect": "Allow", "Action": [ "sagemaker:CreateApp", "sagemaker:DeleteApp" ], "Resource": "arn:aws:sagemaker:*:*:app/${sagemaker:DomainId}/*/*/*", "Condition": { "ArnLike": { "sagemaker:OwnerUserProfileArn": "arn:aws:sagemaker:*:*:user-profile/${sagemaker:DomainId}/${sagemaker:UserProfileName}" }, "StringEquals": { "sagemaker:SpaceSharingType": [ "Private" ] } } }, { "Sid": "AllowFlowDefinitionActions", "Effect": "Allow", "Action": "sagemaker:*", "Resource": [ "arn:aws:sagemaker:*:*:flow-definition/*" ], "Condition": { "StringEqualsIfExists": { "sagemaker:WorkteamType": [ "private-crowd", "vendor-crowd" ] } } }, { "Sid": "AllowAWSServiceActions", "Effect": "Allow", "Action": [ "application-autoscaling:DeleteScalingPolicy", "application-autoscaling:DeleteScheduledAction", "application-autoscaling:DeregisterScalableTarget", "application-autoscaling:DescribeScalableTargets", "application-autoscaling:DescribeScalingActivities", "application-autoscaling:DescribeScalingPolicies", "application-autoscaling:DescribeScheduledActions", "application-autoscaling:PutScalingPolicy", "application-autoscaling:PutScheduledAction", "application-autoscaling:RegisterScalableTarget", "aws-marketplace:ViewSubscriptions", "cloudformation:GetTemplateSummary", "cloudwatch:DeleteAlarms", "cloudwatch:DescribeAlarms", "cloudwatch:GetMetricData", "cloudwatch:GetMetricStatistics", "cloudwatch:ListMetrics", "cloudwatch:PutMetricAlarm", "cloudwatch:PutMetricData", "codecommit:BatchGetRepositories", "codecommit:CreateRepository", "codecommit:GetRepository", "codecommit:List*", "cognito-idp:AdminAddUserToGroup", "cognito-idp:AdminCreateUser", "cognito-idp:AdminDeleteUser", "cognito-idp:AdminDisableUser", "cognito-idp:AdminEnableUser", "cognito-idp:AdminRemoveUserFromGroup", "cognito-idp:CreateGroup", "cognito-idp:CreateUserPool", "cognito-idp:CreateUserPoolClient", "cognito-idp:CreateUserPoolDomain", "cognito-idp:DescribeUserPool", "cognito-idp:DescribeUserPoolClient", "cognito-idp:List*", "cognito-idp:UpdateUserPool", "cognito-idp:UpdateUserPoolClient", "ec2:CreateNetworkInterface", "ec2:CreateNetworkInterfacePermission", "ec2:CreateVpcEndpoint", "ec2:DeleteNetworkInterface", "ec2:DeleteNetworkInterfacePermission", "ec2:DescribeDhcpOptions", "ec2:DescribeNetworkInterfaces", "ec2:DescribeRouteTables", "ec2:DescribeSecurityGroups", "ec2:DescribeSubnets", "ec2:DescribeVpcEndpoints", "ec2:DescribeVpcs", "ecr:BatchCheckLayerAvailability", "ecr:BatchGetImage", "ecr:CreateRepository", "ecr:Describe*", "ecr:GetAuthorizationToken", "ecr:GetDownloadUrlForLayer", "ecr:StartImageScan", "elastic-inference:Connect", "elasticfilesystem:DescribeFileSystems", "elasticfilesystem:DescribeMountTargets", "fsx:DescribeFileSystems", "glue:CreateJob", "glue:DeleteJob", "glue:GetJob*", "glue:GetTable*", "glue:GetWorkflowRun", "glue:ResetJobBookmark", "glue:StartJobRun", "glue:StartWorkflowRun", "glue:UpdateJob", "groundtruthlabeling:*", "iam:ListRoles", "kms:DescribeKey", "kms:ListAliases", "lambda:ListFunctions", "logs:CreateLogDelivery", "logs:CreateLogGroup", "logs:CreateLogStream", "logs:DeleteLogDelivery", "logs:Describe*", "logs:GetLogDelivery", "logs:GetLogEvents", "logs:ListLogDeliveries", "logs:PutLogEvents", "logs:PutResourcePolicy", "logs:UpdateLogDelivery", "robomaker:CreateSimulationApplication", "robomaker:DescribeSimulationApplication", "robomaker:DeleteSimulationApplication", "robomaker:CreateSimulationJob", "robomaker:DescribeSimulationJob", "robomaker:CancelSimulationJob", "secretsmanager:ListSecrets", "servicecatalog:Describe*", "servicecatalog:List*", "servicecatalog:ScanProvisionedProducts", "servicecatalog:SearchProducts", "servicecatalog:SearchProvisionedProducts", "sns:ListTopics", "tag:GetResources" ], "Resource": "*" }, { "Sid": "AllowECRActions", "Effect": "Allow", "Action": [ "ecr:SetRepositoryPolicy", "ecr:CompleteLayerUpload", "ecr:BatchDeleteImage", "ecr:UploadLayerPart", "ecr:DeleteRepositoryPolicy", "ecr:InitiateLayerUpload", "ecr:DeleteRepository", "ecr:PutImage" ], "Resource": [ "arn:aws:ecr:*:*:repository/*sagemaker*" ] }, { "Sid": "AllowCodeCommitActions", "Effect": "Allow", "Action": [ "codecommit:GitPull", "codecommit:GitPush" ], "Resource": [ "arn:aws:codecommit:*:*:*sagemaker*", "arn:aws:codecommit:*:*:*SageMaker*", "arn:aws:codecommit:*:*:*Sagemaker*" ] }, { "Sid": "AllowCodeBuildActions", "Action": [ "codebuild:BatchGetBuilds", "codebuild:StartBuild" ], "Resource": [ "arn:aws:codebuild:*:*:project/sagemaker*", "arn:aws:codebuild:*:*:build/*" ], "Effect": "Allow" }, { "Sid": "AllowStepFunctionsActions", "Action": [ "states:DescribeExecution", "states:GetExecutionHistory", "states:StartExecution", "states:StopExecution", "states:UpdateStateMachine" ], "Resource": [ "arn:aws:states:*:*:statemachine:*sagemaker*", "arn:aws:states:*:*:execution:*sagemaker*:*" ], "Effect": "Allow" }, { "Sid": "AllowSecretManagerActions", "Effect": "Allow", "Action": [ "secretsmanager:DescribeSecret", "secretsmanager:GetSecretValue", "secretsmanager:CreateSecret" ], "Resource": [ "arn:aws:secretsmanager:*:*:secret:AmazonSageMaker-*" ] }, { "Sid": "AllowReadOnlySecretManagerActions", "Effect": "Allow", "Action": [ "secretsmanager:DescribeSecret", "secretsmanager:GetSecretValue" ], "Resource": "*", "Condition": { "StringEquals": { "secretsmanager:ResourceTag/SageMaker": "true" } } }, { "Sid": "AllowServiceCatalogProvisionProduct", "Effect": "Allow", "Action": [ "servicecatalog:ProvisionProduct" ], "Resource": "*" }, { "Sid": "AllowServiceCatalogTerminateUpdateProvisionProduct", "Effect": "Allow", "Action": [ "servicecatalog:TerminateProvisionedProduct", "servicecatalog:UpdateProvisionedProduct" ], "Resource": "*", "Condition": { "StringEquals": { "servicecatalog:userLevel": "self" } } }, { "Sid": "AllowS3ObjectActions", "Effect": "Allow", "Action": [ "s3:GetObject", "s3:PutObject", "s3:DeleteObject", "s3:AbortMultipartUpload" ], "Resource": [ "arn:aws:s3:::*SageMaker*", "arn:aws:s3:::*Sagemaker*", "arn:aws:s3:::*sagemaker*", "arn:aws:s3:::*aws-glue*" ] }, { "Sid": "AllowS3GetObjectWithSageMakerExistingObjectTag", "Effect": "Allow", "Action": [ "s3:GetObject" ], "Resource": [ "arn:aws:s3:::*" ], "Condition": { "StringEqualsIgnoreCase": { "s3:ExistingObjectTag/SageMaker": "true" } } }, { "Sid": "AllowS3GetObjectWithServiceCatalogProvisioningExistingObjectTag", "Effect": "Allow", "Action": [ "s3:GetObject" ], "Resource": [ "arn:aws:s3:::*" ], "Condition": { "StringEquals": { "s3:ExistingObjectTag/servicecatalog:provisioning": "true" } } }, { "Sid": "AllowS3BucketActions", "Effect": "Allow", "Action": [ "s3:CreateBucket", "s3:GetBucketLocation", "s3:ListBucket", "s3:ListAllMyBuckets", "s3:GetBucketCors", "s3:PutBucketCors" ], "Resource": "*" }, { "Sid": "AllowS3BucketACL", "Effect": "Allow", "Action": [ "s3:GetBucketAcl", "s3:PutObjectAcl" ], "Resource": [ "arn:aws:s3:::*SageMaker*", "arn:aws:s3:::*Sagemaker*", "arn:aws:s3:::*sagemaker*" ] }, { "Sid": "AllowLambdaInvokeFunction", "Effect": "Allow", "Action": [ "lambda:InvokeFunction" ], "Resource": [ "arn:aws:lambda:*:*:function:*SageMaker*", "arn:aws:lambda:*:*:function:*sagemaker*", "arn:aws:lambda:*:*:function:*Sagemaker*", "arn:aws:lambda:*:*:function:*LabelingFunction*" ] }, { "Sid": "AllowCreateServiceLinkedRoleForSageMakerApplicationAutoscaling", "Action": "iam:CreateServiceLinkedRole", "Effect": "Allow", "Resource": "arn:aws:iam::*:role/aws-service-role/sagemaker.application-autoscaling.amazonaws.com/AWSServiceRoleForApplicationAutoScaling_SageMakerEndpoint", "Condition": { "StringLike": { "iam:AWSServiceName": "sagemaker.application-autoscaling.amazonaws.com" } } }, { "Sid": "AllowCreateServiceLinkedRoleForRobomaker", "Effect": "Allow", "Action": "iam:CreateServiceLinkedRole", "Resource": "*", "Condition": { "StringEquals": { "iam:AWSServiceName": "robomaker.amazonaws.com" } } }, { "Sid": "AllowSNSActions", "Effect": "Allow", "Action": [ "sns:Subscribe", "sns:CreateTopic", "sns:Publish" ], "Resource": [ "arn:aws:sns:*:*:*SageMaker*", "arn:aws:sns:*:*:*Sagemaker*", "arn:aws:sns:*:*:*sagemaker*" ] }, { "Sid": "AllowPassRoleForSageMakerRoles", "Effect": "Allow", "Action": [ "iam:PassRole" ], "Resource": "arn:aws:iam::*:role/*AmazonSageMaker*", "Condition": { "StringEquals": { "iam:PassedToService": [ "glue.amazonaws.com", "robomaker.amazonaws.com", "states.amazonaws.com" ] } } }, { "Sid": "AllowPassRoleToSageMaker", "Effect": "Allow", "Action": [ "iam:PassRole" ], "Resource": "arn:aws:iam::*:role/*", "Condition": { "StringEquals": { "iam:PassedToService": "sagemaker.amazonaws.com" } } }, { "Sid": "AllowAthenaActions", "Effect": "Allow", "Action": [ "athena:ListDataCatalogs", "athena:ListDatabases", "athena:ListTableMetadata", "athena:GetQueryExecution", "athena:GetQueryResults", "athena:StartQueryExecution", "athena:StopQueryExecution" ], "Resource": [ "*" ] }, { "Sid": "AllowGlueCreateTable", "Effect": "Allow", "Action": [ "glue:CreateTable" ], "Resource": [ "arn:aws:glue:*:*:table/*/sagemaker_tmp_*", "arn:aws:glue:*:*:table/sagemaker_featurestore/*", "arn:aws:glue:*:*:catalog", "arn:aws:glue:*:*:database/*" ] }, { "Sid": "AllowGlueUpdateTable", "Effect": "Allow", "Action": [ "glue:UpdateTable" ], "Resource": [ "arn:aws:glue:*:*:table/sagemaker_featurestore/*", "arn:aws:glue:*:*:catalog", "arn:aws:glue:*:*:database/sagemaker_featurestore" ] }, { "Sid": "AllowGlueDeleteTable", "Effect": "Allow", "Action": [ "glue:DeleteTable" ], "Resource": [ "arn:aws:glue:*:*:table/*/sagemaker_tmp_*", "arn:aws:glue:*:*:catalog", "arn:aws:glue:*:*:database/*" ] }, { "Sid": "AllowGlueGetTablesAndDatabases", "Effect": "Allow", "Action": [ "glue:GetDatabases", "glue:GetTable", "glue:GetTables" ], "Resource": [ "arn:aws:glue:*:*:table/*", "arn:aws:glue:*:*:catalog", "arn:aws:glue:*:*:database/*" ] }, { "Sid": "AllowGlueGetAndCreateDatabase", "Effect": "Allow", "Action": [ "glue:CreateDatabase", "glue:GetDatabase" ], "Resource": [ "arn:aws:glue:*:*:catalog", "arn:aws:glue:*:*:database/sagemaker_featurestore", "arn:aws:glue:*:*:database/sagemaker_processing", "arn:aws:glue:*:*:database/default", "arn:aws:glue:*:*:database/sagemaker_data_wrangler" ] }, { "Sid": "AllowRedshiftDataActions", "Effect": "Allow", "Action": [ "redshift-data:ExecuteStatement", "redshift-data:DescribeStatement", "redshift-data:CancelStatement", "redshift-data:GetStatementResult", "redshift-data:ListSchemas", "redshift-data:ListTables" ], "Resource": [ "*" ] }, { "Sid": "AllowRedshiftGetClusterCredentials", "Effect": "Allow", "Action": [ "redshift:GetClusterCredentials" ], "Resource": [ "arn:aws:redshift:*:*:dbuser:*/sagemaker_access*", "arn:aws:redshift:*:*:dbname:*" ] }, { "Sid": "AllowListTagsForUserProfile", "Effect": "Allow", "Action": [ "sagemaker:ListTags" ], "Resource": [ "arn:aws:sagemaker:*:*:user-profile/*" ] }, { "Sid": "AllowCloudformationListStackResources", "Effect": "Allow", "Action": [ "cloudformation:ListStackResources" ], "Resource": "arn:aws:cloudformation:*:*:stack/SC-*" }, { "Sid": "AllowS3ExpressObjectActions", "Effect": "Allow", "Action": [ "s3express:CreateSession" ], "Resource": [ "arn:aws:s3express:*:*:bucket/*SageMaker*", "arn:aws:s3express:*:*:bucket/*Sagemaker*", "arn:aws:s3express:*:*:bucket/*sagemaker*", "arn:aws:s3express:*:*:bucket/*aws-glue*" ], "Condition": { "StringEquals": { "aws:ResourceAccount": "${aws:PrincipalAccount}" } } }, { "Sid": "AllowS3ExpressCreateBucketActions", "Effect": "Allow", "Action": [ "s3express:CreateBucket" ], "Resource": [ "arn:aws:s3express:*:*:bucket/*SageMaker*", "arn:aws:s3express:*:*:bucket/*Sagemaker*", "arn:aws:s3express:*:*:bucket/*sagemaker*" ], "Condition": { "StringEquals": { "aws:ResourceAccount": "${aws:PrincipalAccount}" } } }, { "Sid": "AllowS3ExpressListBucketActions", "Effect": "Allow", "Action": [ "s3express:ListAllMyDirectoryBuckets" ], "Resource": "*" } ] }
Amazon managed policy: AmazonSageMakerReadOnly
This policy grants read-only access to Amazon SageMaker AI through the Amazon Web Services Management Console and SDK.
Permissions details
This policy includes the following permissions.
-
application-autoscaling– Allows users to browse descriptions of scalable SageMaker AI real-time inference endpoints. -
aws-marketplace– Allows users to view Amazon AI Marketplace subscriptions. -
cloudwatch– Allows users to receive CloudWatch alarms. -
cognito-idp– Needed for Amazon SageMaker Ground Truth to browse descriptions and lists of private workforce and work teams. -
ecr– Needed to read Docker artifacts for training and inference.
{ "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Action": [ "sagemaker:Describe*", "sagemaker:List*", "sagemaker:BatchGetMetrics", "sagemaker:GetDeviceRegistration", "sagemaker:GetDeviceFleetReport", "sagemaker:GetSearchSuggestions", "sagemaker:BatchGetRecord", "sagemaker:GetRecord", "sagemaker:Search", "sagemaker:QueryLineage", "sagemaker:GetLineageGroupPolicy", "sagemaker:BatchDescribeModelPackage", "sagemaker:GetModelPackageGroupPolicy" ], "Resource": "*" }, { "Effect": "Allow", "Action": [ "application-autoscaling:DescribeScalableTargets", "application-autoscaling:DescribeScalingActivities", "application-autoscaling:DescribeScalingPolicies", "application-autoscaling:DescribeScheduledActions", "aws-marketplace:ViewSubscriptions", "cloudwatch:DescribeAlarms", "cognito-idp:DescribeUserPool", "cognito-idp:DescribeUserPoolClient", "cognito-idp:ListGroups", "cognito-idp:ListIdentityProviders", "cognito-idp:ListUserPoolClients", "cognito-idp:ListUserPools", "cognito-idp:ListUsers", "cognito-idp:ListUsersInGroup", "ecr:Describe*" ], "Resource": "*" } ] }
SageMaker AI Updates to Amazon Managed Policies
View details about updates to Amazon managed policies for SageMaker AI since this service began tracking these changes.
| Policy | Version | Change | Date |
|---|---|---|---|
AmazonSageMakerFullAccess - Update to an existing policy |
27 |
|
December 4, 2024 |
AmazonSageMakerFullAccess - Update to an existing policy |
26 |
Add |
March 29, 2024 |
AmazonSageMakerFullAccess - Update to an existing policy |
25 |
Add |
November 30, 2023 |
AmazonSageMakerFullAccess - Update to an existing policy |
24 |
Add |
November 30, 2022 |
AmazonSageMakerFullAccess - Update to an existing policy |
23 |
Add |
June 29, 2022 |
AmazonSageMakerFullAccess - Update to an existing policy |
22 |
Add |
May 1, 2022 |
AmazonSageMakerReadOnly - Update to an existing policy |
11 |
Add |
December 1, 2021 |
AmazonSageMakerFullAccess - Update to an existing policy |
21 |
Add |
September 8, 2021 |
AmazonSageMakerFullAccess - Update to an existing policy |
20 |
Update |
July 15, 2021 |
AmazonSageMakerReadOnly - Update to an existing policy |
10 |
New API |
June 10, 2021 |
|
SageMaker AI started tracking changes for its Amazon managed policies. |
June 1, 2021 |