Part 2. A proactive privacy program: Data governance

This part will help engineers think of privacy engineering not as a series of tools and point solutions but as a platform that leads to sound governance. Given the interconnectedness of the tech ecosystem, engineers will need to build privacy across the stack. This section will provide engineers with hands-on skills to embed privacy into the data.

Chapter 3 focuses on classifying data with cross-functional partners so as to align with privacy risk. Without data classification, you can neither quantify risk nor begin to enforce automated controls. There are also examples on offer to help engineers build instinct and muscle memory for their jobs.

Chapter 4 is a deep-dive on data inventory, so that engineers can affix data classification into the data that lives in their systems. We will architect a system that will inventory and index data using a mixture of manual and intelligence-powered categorization.

Chapter 5 will enable engineers to share data with privacy protections built in. It will educate the reader with techniques to anonymize datasets and measure privacy impact. That way, they can tailor data sharing to business risk appetite, regulatory commitments and customer trust.