Machine Learning Security with Azure

Part 1: Planning for Azure Machine Learning Security

This part is all about creating a plan to secure your resources. Security is organization-specific so you will get an overview of the Zero Trust security approach designed to secure any implementation of IT systems. You will learn to leverage the MITRE ATLAS knowledge base to understand ML attacks. Finally, you will also learn how to develop AI systems ethically and responsibly and how to use Azure services to ensure regulatory compliance.

This part has the following chapters:

• Chapter 1, Assessing the Vulnerability of Your Algorithms, Models, and AI Environments
• Chapter 2, Understanding the Most Common Machine Learning Attacks
• Chapter 3, Planning for Regulatory Compliance