AI Application Federated Access via AWS Identity Store

Question

Pulumi · Accepted Answer

To create federated access for an AI application using AWS Identity Store, we need to define and manage identities and group memberships that control the access to AWS resources. You can achieve this by using the AWS Identity Store, AWS IAM (Identity and Access Management), and possibly integrating with SSO (Single Sign-On) depending on your specific requirements.

Here's how you would set this up using Pulumi:

1. **Setting Up Identity Store Users**: You'll use AWS Identity Store to create and manage user identities. You can create users with `aws.identitystore.User` resources.
2. **Setting Up Group Membership**: If you require users to be part of certain groups for access control, you will manage these groups and the group membership through the `aws.identitystore.GroupMembership` resource.
3. **Defining IAM Roles and Policies**: Define IAM roles with their corresponding policies that outline the permissions each federated user or group has on AWS resources. Use `aws-iam.AssumableRole` or SAML-based roles if integrating with an external identity provider.
4. **Access Management**: Optionally, if integrating with AWS Single Sign-On (SSO) or other services, you may use additional resources to manage access.

Below is a Pulumi Python program that illustrates how you might start this process. It creates a user within AWS Identity Store and an IAM role that the user can assume. This program does not handle the actual federation mechanism, which would involve setting up a trust relationship between AWS and your identity provider, such as an Active Directory Federation Service, Okta, or other SAML 2.0-compliant service.

```python
import pulumi
import pulumi_aws as aws

# Create an Identity Store User
# Reference: https://www.pulumi.com/registry/packages/aws/api-docs/identitystore/user/
identity_store_user = aws.identitystore.User("aiAppUser",
    identity_store_id="d-1234567890", # This is an example ID; replace with your actual identity store ID
    user_name="aiAppUser",
    name=aws.identitystore.UserUserNameArgs(
        family_name="Doe",
        given_name="Jane",
    ),
    display_name="Jane Doe",
    emails=[aws.identitystore.UserEmailArgs(
        type="work",
        value="jane.doe@example.com",
        primary=True,
    )])

# Create an IAM Role that the Identity Store user can assume
# Reference: https://www.pulumi.com/registry/packages/aws-iam/api-docs/assumablerole/
assumable_role = aws_iam.AssumableRole("aiAppFederatedRole",
    role=aws_iam.AssumableRoleRoleArgs(
        policy_arns=["arn:aws:iam::aws:policy/ReadOnlyAccess"], # Example policy ARN, modify as per actual required permissions
    ))

# Depending on your federation setup, you might have additional steps here to create a trust relationship to an external IdP.

# IAM policy document that allows an Identity Store user to assume the specified IAM role.
# Note that this is a basic example; the condition may vary depending on your Identity provider and federation setup.
assume_role_policy = aws.iam.get_policy_document(statements=[{
    "actions": ["sts:AssumeRole"],
    "effect": "Allow",
    "principals": [{
        "type": "AWS",
        "identifiers": [identity_store_user.id]
    }],
    "condition": {
        "StringEquals": {
            "sts:ExternalId": "FederatedApplication",  # You must replace this with your actual external ID used for federation
        },
    },
}])

# Attach the assume role policy document to the IAM role
role_policy_attachment = aws.iam.RolePolicyAttachment('aiAppAssumeRolePolicyAttachment',
    role=assumable_role.name,
    policy_arn=assume_role_policy.id)

# Export the IAM Role ARN so it can be used to define permissions or further configuration
pulumi.export('aiAppFederatedRoleArn', assumable_role.arn)
```

This code will set up an initial framework for federated access. It's important to remember that proper federated security will also require the setup and configuration of your chosen federation system.

This program creates a user in AWS Identity Store and a read-only IAM role that the user can potentially assume. The exact method of assigning this IAM Role to the user will depend on your identity federation setup, which will likely involve SAML 2.0 integration or similar. Common SAML 2.0 Identity providers include services like Okta, Auth0, or a self-managed Active Directory Federation Services (ADFS). You'll need to refer to specific documentation for these services to integrate them with AWS Identity and Access Management.