Secure Access to AI APIs with Auth0 Management
PythonTo secure access to AI APIs using Auth0 Management, we will create a custom Auth0 API and define permissions (scopes) that will govern what actions can be performed on your AI APIs. To manage these settings programmatically, we can use Pulumi with the
pulumi_auth0
package. We'll configure an API in Auth0, define scopes, and also demonstrate how to create Roles and Permissions for fine-grained access control.Here's how you can achieve this with Pulumi:
- Defining the API in Auth0: We will create an API in Auth0, which represents your AI API. We'll assign an Identifier (audience) and the scopes to the API.
- Creating Permissions: We will define permissions for different actions that clients can perform on the API, like "read:data" or "write:data".
- Creating Roles: Roles represent sets of permissions. For example, we might have an "Admin" role with full access, and a "User" role with read-only access.
Pre-requisites:
Before running the Pulumi program, make sure you have:
- The Pulumi CLI installed and configured with your Auth0 provider settings.
- Auth0 domain and management client credentials (a client ID and secret) obtained from your Auth0 dashboard.
Here's the Pulumi program that defines an Auth0 API with secure access to AI APIs:
import pulumi import pulumi_auth0 as auth0 # Step 1: Define an Auth0 API representing your AI API ai_api = auth0.Api("ai-api", name="AI API", identifier="https://api.ai.example.com", scopes=[ auth0.ApiScopeArgs( value="read:data", description="Read access to AI data" ), auth0.ApiScopeArgs( value="write:data", description="Write access to AI data" ), ]) # Step 2: Define Permissions (This is an example, adjust the values as necessary) read_permission = auth0.Permission("read-permission", resource_server_identifier=ai_api.identifier, name="read:data", description="Read access to AI data") write_permission = auth0.Permission("write-permission", resource_server_identifier=ai_api.identifier, name="write:data", description="Write access to AI data") # Step 3: Define Roles with the permissions created above (optional) user_role = auth0.Role("user-role", name="User", description="Read-only access", permissions=[ read_permission.id ]) admin_role = auth0.Role("admin-role", name="Admin", description="Full access", permissions=[ read_permission.id, write_permission.id ]) # Export the API details pulumi.export("api_identifier", ai_api.identifier) # Output the Role IDs pulumi.export("user_role_id", user_role.id) pulumi.export("admin_role_id", admin_role.id)
Explanation:
- The
auth0.Api
resource creates a new API representation within Auth0. Theidentifier
should be set to a unique URI that identifies your API. - The
scopes
field defines the permissions that can be granted to client applications. - The
auth0.Permission
resource creates permissions which can be associated with users or applications to define what they are allowed to access. - The
auth0.Role
resource creates roles with associated permissions. This is useful for quickly assigning a set of permissions to users.
Make sure to replace
https://api.ai.example.com
with the actual endpoint for your AI API. Thename
anddescription
provided toApiScopeArgs
andPermission
are for readability and auditing purposes and should reflect the actual operations of your AI API.After running this Pulumi program with
pulumi up
, you will have:- An API defined in Auth0, which serves as an entry point for clients to access your AI API securely.
- Two permissions that specify the type of operations clients can perform.
- Two roles that aggregate permissions for easy assignment to users or clients.
You can now use Auth0 to secure your AI API endpoints by implementing authorization checks based on these settings. This means verifying the JWT access tokens presented by clients to see if they have the necessary scopes (permissions) to use your AI API.