1. Auth0-Managed Authorization for AI Dashboards

    Python

    To set up Auth0-managed authorization for AI dashboards, you would typically need to integrate Auth0 as an identity provider with your application and secure your APIs or dashboard endpoints accordingly. Pulumi does not have a direct integration with Auth0, but it can manage the infrastructure of cloud services like Azure API Management or AWS API Gateway, which in turn can be configured to use Auth0 for authentication and authorization.

    In this explanation, I'll show you how to create Azure API Management resources with Pulumi. These resources can be configured to protect your AI dashboard endpoints and use Auth0 for managing authentication and authorization.

    To start, you will need to have an Auth0 account and a registered Auth0 application with the necessary configurations for your AI dashboard. Additionally, you will need an Azure account, with Azure API Management service created, and its details ready for integration.

    Here's a program that sets up Azure API Management service in Pulumi and configures an authorization server that could be used to integrate Auth0 for securing your AI dashboard:

    import pulumi import pulumi_azure_native as azure_native # Define the required inputs for an authorization server # that will be used to integrate with Auth0. # This information typically comes from your Auth0 application settings. auth0_domain = "your-auth0-domain" auth0_client_id = "your-auth0-client-id" auth0_client_secret = "your-auth0-client-secret" auth0_audience = "your-auth0-audience" # Create an instance of API Management service. api_management_service = azure_native.apimanagement.ApiManagementService( "apiManagementService", resource_group_name="your-resource-group-name", location="your-region", publisher_name="publisher-name", publisher_email="publisher-email", sku=azure_native.apimanagement.ServiceSkuArgs( name="Developer", # Choose the tier that suits your need. capacity=1, ), ) # Create an authorization server that uses Auth0 for OAuth 2.0 authorization. auth_server = azure_native.apimanagement.AuthorizationServer( "authServer", resource_group_name=api_management_service.resource_group_name, service_name=api_management_service.name, display_name="Auth0", authorization_endpoint=f"https://{auth0_domain}/authorize", client_registration_endpoint=f"https://{auth0_domain}/device/code", client_id=auth0_client_id, client_secret=auth0_client_secret, grant_types=["authorizationCode", "implicit", "clientCredentials"], default_scope=auth0_audience, token_endpoint=f"https://{auth0_domain}/oauth/token", ) # Output the API Management service's name and the authorization server's ID. pulumi.export("apiManagementServiceName", api_management_service.name) pulumi.export("authorizationServerId", auth_server.id)

    This program creates an API Management service and an associated OAuth 2.0 authorization server in Azure. The AuthorizationServer resource is where you'd define Auth0 as the external OAuth provider, which requires the Auth0 domain, client ID, and client secret from your Auth0 application settings.

    Please replace your-auth0-domain, your-auth0-client-id, your-auth0-client-secret, and your-auth0-audience with your actual Auth0 application details.

    Also, replace your-resource-group-name, your-region, publisher-name, and publisher-email with the appropriate information for your Azure subscription.

    Next steps would involve setting up the dashboard application to use Auth0 for authentication, configuring permissions and roles within Auth0, and then securing your APIs in Azure API Management with the AuthorizationServer resource you created above. The AI dashboard would need to handle login with Auth0 to receive tokens, that then get passed as authentication headers in API requests to the Azure API Management endpoints.

    For more details on setting up Azure API Management, refer to the Azure API Management documentation on Pulumi. For Auth0 integration specifics, refer to the Auth0 documentation.


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