Enhancing AI Service Security with Okta Custom Claims

Question

Pulumi · Accepted Answer

To enhance AI service security using Okta's custom claims, you can create additional claims in Okta that can be included in tokens (like ID tokens or access tokens). These claims can be used to carry specific information about a user or other subject matter, which can then be utilized by your AI services for authentication and authorization purposes.

In Okta, a custom claim is an attribute-value pair that adds additional information to the basic claims. You can create custom claims for different scopes or for the default authorization server. Okta allows you to assert these claims based on a variety of conditions like group membership, client ID, or the inclusion of specific scopes in the request.

Below is a Pulumi program written in Python that demonstrates how to create custom claims in Okta for enhancing the security of an AI service. We will:

1. Define a custom claim named `ai_service_role` which represents the user's role within the AI service.
2. Attach this custom claim to the default authorization server in Okta.
3. Ensure the claim is included in the token only if the `aiServiceAccess` scope is present in the token request.

Here's how you could set this up with Pulumi.

```python
import pulumi
import pulumi_okta as okta

# Create a custom claim in Okta's default Authorization Server
ai_service_role_claim = okta.AuthServerClaimDefault("aiServiceRoleClaim",
    auth_server_id="ausl5va9mpJVSROVI5D7",  # Replace with your own Auth Server ID
    name="ai_service_role",
    claim_type="RESOURCE",
    value_type="EXPRESSION",
    value="'StandardUser'",  # Default role, you can use an Okta expression for dynamic assignment.
    group_filter_type="STARTS_WITH",
    always_include_in_token=True,  # Change to False if not always required
    status="ACTIVE",
    scopes=["aiServiceAccess"],  # Attach the claim to a specific scope
    conditions=okta.AuthServerClaimDefaultConditionsArgs(  # Define conditions for claim
        scopes=okta.AuthServerClaimDefaultConditionsScopesArgs(
            include=["aiServiceAccess"],  # Include the claim in tokens with the 'aiServiceAccess' scope
            exclude=[]  # Optionally, scopes to exclude.
        )
    )
)

# Export the URL of the custom claim
pulumi.export("ai_service_role_claim_id", ai_service_role_claim.id)
```

This Pulumi program uses the `okta.AuthServerClaimDefault` resource to create a custom claim. A unique aspect of this resource is that it lets us define the name, value and conditions under which our custom claim will be included in an access token. In this case, the claim is only included if the token request includes the scope `aiServiceAccess`.

When you run a `pulumi up` with this code, it will create a custom claim in your Okta organization. You will then need to include this new scope in your AI service's client applications when requesting a token from Okta.

To make sure this integrates with your existing Okta setup, you should replace the dummy values like `ausl5va9mpJVSROVI5D7` with actual IDs of your Okta Authorization Server. You'll also want to adjust the value expression `"'StandardUser'"` to actually pull from user attributes or other expressions based on your use case.

Remember, you will need to manage and configure these claims according to your security requirements and to ensure that only the necessary information is imparted within these tokens.

Lastly, ensure that your AI service is configured to validate these claims and to enforce security policies based on them. This might involve updating your service's authentication middleware to check for the presence of specific claims within the token before granting access to its APIs or resources.