Part 3: Securing and Monitoring Your AI Environment
When it comes to the cloud, there is more to security than data. In this part, you will learn how to secure identity and access and all the cloud infrastructure around your Azure Machine Learning resources. Then, you will learn how to automate those processes using MLOps practices and how to set up system monitoring to detect and resolve any security issues.
This part has the following chapters:
- Chapter 6, Managing and Securing Access
- Chapter 7, Managing and Securing your Azure Machine Learning Workspace
- Chapter 8, Managing and Securing the MLOps Life Cycle
- Chapter 9, Logging, Monitoring, and Threat Detection