1. Secure AI APIs with OAuth and Azure AD Integration

    Python

    To secure AI APIs with OAuth and Azure AD Integration, we'll be using Azure API Management (APIM) to create and set up an OAuth 2.0 authorization server. This server will delegate the user authentication to the Azure AD authority and obtain tokens that can be used to authorize authenticated users to access the AI APIs.

    Firstly, we use the AuthorizationServer resource to create the OAuth 2.0 authorization server in Azure API Management. This server needs a clientId, clientSecret, and related information that aligns with the registered application in Azure AD.

    We will also set up an instance of Azure API Management using the ApiManagementService resource. The AuthorizationServer will be attached to this APIM service and configured to use Azure AD as the identity provider.

    Here's a step-by-step Pulumi program for creating the necessary infrastructure:

    1. Define the Azure API Management service instance.
    2. Create an OAuth 2.0 authorization server linked to Azure AD.
    3. Configure the authorization server to use Azure AD's token and authorization endpoints.
    4. Secure the AI APIs by setting policies in API Management to authenticate with the OAuth server.

    Let's get started with the Pulumi program written in Python:

    import pulumi import pulumi_azure_native as azure_native # Configuring the API Management instance api_management_service = azure_native.apimanagement.ApiManagementService("myApiManagementService", resource_group_name="myResourceGroup", # Replace with your resource group name location="West US", # Choose the appropriate location sku=azure_native.apimanagement.SkuDescriptionArgs( name="Developer", # The tier of the service (Developer, Basic, Standard, or Premium) capacity=1, # The unit count of the SKU ), publisher_email="admin@example.com", # The email address of the publisher. publisher_name="My Company", # The name of your company or organization. ) # Creating an OAuth 2.0 authorization server authorization_server = azure_native.apimanagement.AuthorizationServer("myAuthServer", resource_group_name="myResourceGroup", # Replace with your resource group name service_name=api_management_service.name, display_name="Azure AD OAuth 2.0", grant_types=["authorizationCode"], # Define the grant types, for example, "authorizationCode" and/or "implicit". client_id="YOUR_CLIENT_ID", # Replace with the client ID from Azure AD application client_secret="YOUR_CLIENT_SECRET", # Replace with the client secret from Azure AD application authorization_methods=["GET", "POST"], # HTTP methods that are supported at the authorization endpoint. authorization_endpoint="https://login.microsoftonline.com/YOUR_TENANT_ID/oauth2/authorize", # Replace with your Azure AD auth endpoint token_endpoint="https://login.microsoftonline.com/YOUR_TENANT_ID/oauth2/token", # Replace with your Azure AD token endpoint client_registration_endpoint="https://login.microsoftonline.com/YOUR_TENANT_ID/oauth2/consent", # Replace with your Azure AD registration endpoint ) # Export the API Management service endpoint pulumi.export('api_management_endpoint', api_management_service.gateway_url)

    In the above program:

    • We create a new instance of the Azure API Management service where you can host your APIs.
    • We set up an OAuth 2.0 authorization server using details from your Azure AD Application.
    • OAuth 2.0 endpoints and the client registration endpoint are specified based on your Azure AD tenant.

    Replace YOUR_TENANT_ID, YOUR_CLIENT_ID, and YOUR_CLIENT_SECRET with actual values from your Azure AD application registration.

    Ensure you have predefined an Azure AD application and have the necessary permissions to create the resources above.

    After creating and configuring the authorization server, you'll have to protect your APIs by setting up inbound policies in Azure API Management to validate the OAuth tokens. This aspect is managed through the Azure portal or further configured via Pulumi in the API Management policies.

    Remember that handling secrets like YOUR_CLIENT_SECRET should be done with care. You should never hardcode secrets in your configuration files. Use Pulumi's secret management or Azure Key Vault integration for production scenarios.

    Once you deploy this Pulumi program, your AI APIs will be secured by Azure AD, meaning only authenticated users with valid tokens from Azure AD can access them.


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