1. Authorized AI Webhook Endpoints via Okta


    To set up authorized AI webhook endpoints via Okta using Pulumi, we will need to create an OAuth application in Okta to control the access to the webhook endpoints. The Okta OAuth application resource will enable you to define authorization parameters and security policies for the endpoints.

    In Okta, an OAuth service app acts as a middle layer between the client and the resource server (in this case, our webhook endpoints), providing secure delegated access. It issues tokens to clients on behalf of the resource owner, and also verifies that the client has been authorized to access the webhook.

    We'll use Pulumi to create the following resources:

    • An OAuth application in Okta, configured to secure our webhook endpoints.
    • Authorization and redirect URIs that are hooked up with the OAuth application to manage access.

    Here's the Pulumi Python program that would create such a setup:

    import pulumi import pulumi_okta as okta # Define the OAuth Application settings oauth_app = okta.AppOauth( "aiWebhookOAuthApp", label="AI Webhook Auth App", type="service", # 'service' indicates this app is a service (non-user-facing) grant_types=["client_credentials"], # Using the client credentials flow token_endpoint_auth_method="client_secret_basic", # Authenticate using a client secret response_types=["token"], # The app should return an access token redirect_uris=[ # URI to redirect to after authorization # You should replace this with the actual URI of your AI webhook handler service "https://your.webhook.handler/authorization-code/callback" ], # Additional optional settings can be provided here to further configure your OAuth app, # such as settings concerning PKCE, JWKS, etc. ) # Output the client_id of the created OAuth application pulumi.export("oauth_app_client_id", oauth_app.client_id) # More outputs can be added if required such as client_secret or others related to the OAuth process.

    In this code:

    • We create an OAuth application in Okta with essential settings, like the grant type and token endpoint authentication method.
    • We specify the redirect URI, which is the endpoint OAuth will callback to once the authorization is complete.

    After setting up the client, all requests to the authorized AI webhook endpoints will require a bearer token which can be acquired using the client_id and client_secret of the OAuth app you've just set up.

    Remember to replace "https://your.webhook.handler/authorization-code/callback" with your actual webhook handler's URI.

    What does this program do? This program automates the creation of an OAuth 2.0 client application in Okta to secure webhook endpoints for an AI service. When a service or application attempts to access the webhook endpoint, it will first authenticate with Okta using the client credentials flow, receive an access token, and then use this token in the Authorization header of requests to the webhook endpoint.

    Please note that this is a minimal OAuth service application setup. In a real-world scenario, you may need further customization based on your security requirements, like scopes, policies, and more.