I believe some of the information you're looking for can be found under the "MLOps" umbrella in AzureML:

• Initial (overview) documentation page: https://learn.microsoft.com/en-us/azure/machine-learning/concept-model-management-and-deployment?view=azureml-api-2

• Automation through GitHub actions: https://learn.microsoft.com/en-us/azure/machine-learning/how-to-github-actions-machine-learning?view=azureml-api-2&tabs=openid

• End-to-end example with GitHub actions: https://learn.microsoft.com/en-us/azure/machine-learning/how-to-setup-mlops-github-azure-ml?view=azureml-api-2&tabs=azure-shell

Information about promotion through stages, branching, and general version control strategies may be found in the "MLOps Accelerator" documentation:

• Overview page: https://microsoft.github.io/azureml-ops-accelerator/
• Branching: https://microsoft.github.io/azureml-ops-accelerator/4-Migrate/dstoolkit-mlops-base/docs/how-to/BranchingStrategy.html
• Development stages: https://microsoft.github.io/azureml-ops-accelerator/3-Deploy/2-OrganizeAMLEnvironment.html?highlight=staging#2-environments-and-workspace-setup

Documentation about security can be found here (didn't check):

• https://learn.microsoft.com/en-us/azure/machine-learning/concept-enterprise-security?view=azureml-api-2
• https://learn.microsoft.com/en-us/azure/machine-learning/how-to-network-isolation-planning?view=azureml-api-2

For more info on the latter, find the tab "Infrastructure and Security" on the left sidebar menu: