Hey Andres Esteban yup, you can totally make your Azure ML model API HTTPS-enabled for that extra layer of security. so when deploying your model as an API, just make sure to specify HTTPS during the deployment. If you're using Python with the Azure ML SDK, look below for how.
pythonCopy code
service = Model.deploy(workspace, name, models, inference_config, deployment_config)
service.wait_for_deployment(show_output=True)
print(service.scoring_uri)
this deploys and also gives you the HTTPS scoring URI. Now, if you're using Azure API Management or have your model in a web app, remember to configure those to enforce HTTPS as well.
If this helps kindly accept the answer thanks much.