Amazon Lookout for Vision identity-based policy examples - Amazon Lookout for Vision
Policy best practicesAccessing a single Amazon Lookout for Vision projectTag-based policy examples

End of support notice: On October 31, 2025, AWS will discontinue support for Amazon Lookout for Vision. After October 31, 2025, you will no longer be able to access the Lookout for Vision console or Lookout for Vision resources. For more information, visit this blog post.

Amazon Lookout for Vision identity-based policy examples

By default, users and roles don't have permission to create or modify Lookout for Vision resources. They also can't perform tasks by using the AWS Management Console, AWS Command Line Interface (AWS CLI), or AWS API. To grant users permission to perform actions on the resources that they need, an IAM administrator can create IAM policies. The administrator can then add the IAM policies to roles, and users can assume the roles.

To learn how to create an IAM identity-based policy by using these example JSON policy documents, see Create IAM policies (console) in the IAM User Guide.

For details about actions and resource types defined by Lookout for Vision, including the format of the ARNs for each of the resource types, see Actions, resources, and condition keys for Amazon Lookout for Vision in the Service Authorization Reference.

Policy best practices

Identity-based policies determine whether someone can create, access, or delete Lookout for Vision resources in your account. These actions can incur costs for your AWS account. When you create or edit identity-based policies, follow these guidelines and recommendations:

  • Get started with AWS managed policies and move toward least-privilege permissions – To get started granting permissions to your users and workloads, use the AWS managed policies that grant permissions for many common use cases. They are available in your AWS account. We recommend that you reduce permissions further by defining AWS customer managed policies that are specific to your use cases. For more information, see AWS managed policies or AWS managed policies for job functions in the IAM User Guide.

  • Apply least-privilege permissions – When you set permissions with IAM policies, grant only the permissions required to perform a task. You do this by defining the actions that can be taken on specific resources under specific conditions, also known as least-privilege permissions. For more information about using IAM to apply permissions, see Policies and permissions in IAM in the IAM User Guide.

  • Use conditions in IAM policies to further restrict access – You can add a condition to your policies to limit access to actions and resources. For example, you can write a policy condition to specify that all requests must be sent using SSL. You can also use conditions to grant access to service actions if they are used through a specific AWS service, such as AWS CloudFormation. For more information, see IAM JSON policy elements: Condition in the IAM User Guide.

  • Use IAM Access Analyzer to validate your IAM policies to ensure secure and functional permissions – IAM Access Analyzer validates new and existing policies so that the policies adhere to the IAM policy language (JSON) and IAM best practices. IAM Access Analyzer provides more than 100 policy checks and actionable recommendations to help you author secure and functional policies. For more information, see Validate policies with IAM Access Analyzer in the IAM User Guide.

  • Require multi-factor authentication (MFA) – If you have a scenario that requires IAM users or a root user in your AWS account, turn on MFA for additional security. To require MFA when API operations are called, add MFA conditions to your policies. For more information, see Secure API access with MFA in the IAM User Guide.

For more information about best practices in IAM, see Security best practices in IAM in the IAM User Guide.

Accessing a single Amazon Lookout for Vision project

In this example, you want to grant a user in your AWS account access to one of your Amazon Lookout for Vision projects.

{
    "Sid": "SpecificProjectOnly",
    "Effect": "Allow",
    "Action": [
        "lookoutvision:DetectAnomalies"
    ],
    "Resource": "arn:aws:lookoutvision:us-east-1:123456789012:model/myproject/*"
}

Tag-based policy examples

Tag-based policies are JSON policy documents that specify the actions that a principal can perform on tagged resources.

Use a tag to access a resource

This example policy grants a user or role in your AWS account permission to use the DetectAnomalies operation with any model tagged with the key stage and the value production. 

{ 
    "Version": "2012-10-17", 
    "Statement": [ 
        { 
            "Effect": "Allow", 
            "Action": [ 
                "LookoutVision:DetectAnomalies" 
            ], 
            "Resource": "*", 
            "Condition": {
                "StringEquals": {
                    "aws:ResourceTag/stage": "production" 
                } 
            } 
        } 
   ]
}

Use a tag to deny access to specific Amazon Lookout for Vision operations

This example policy denies permission for a user or role in your AWS account to call the DeleteModel or StopModel operations with any model tagged with the key stage and the value production. 

{ 
    "Version": "2012-10-17", 
    "Statement": [ 
        { 
            "Effect": "Deny", 
            "Action": [ 
                "LookoutVision:DeleteModel",
                "LookoutVision:StopModel" 
            ], 
            "Resource": "*", 
            "Condition": {
                "StringEquals": {
                    "aws:ResourceTag/stage": "production" 
                } 
            } 
        } 
   ]
}