Summary

In this chapter, we learned how to develop AI systems responsibly and how to develop an ethical approach using Responsible AI tools. We became familiar with the industry security standards and learned how to enforce them using the Azure Policy service. Reporting and automation for regulatory compliance were never easier as there are a lot of tools we can use to help us view and maintain the compliance status of our services. For reporting and auditing, we have the Compliance and Remediation blades in Azure Policy, Azure Resource Graph Explorer, and command-line tools. To automate environment creation, we can leverage the Azure Blueprints service and IaC.

Now that we have a strategy and some knowledge of multiple security standards available out of the box, let us see how we can implement all those controls and guardrails in our Azure environment. As always when it comes to ML, we will start with the data.

In the next chapter, we will explain data governance and how to...