Engineer privacy into your systems with these hands-on techniques for data governance, legal compliance, and surviving security audits.
In Privacy by Design you will learn how to:
Classify data based on privacy risk
Build a data catalog and discover data in your systems
Share data with quantifiable privacy controls
Implement privacy features like data deletion and obfuscation
Put in place trust features like data downloads, discovery, and consent
Undertake a privacy review program with a lens on legal and engineering
Explain privacy risks and issues to senior leadership
Prepare for privacy audits
Privacy by Design teaches you to efficiently implement privacy techniques and processes at scale. You’ll learn from author Nishant Bhajaria, an industry-renowned expert who has overseen the privacy programs at Google, Netflix, and Uber. Master methods that can be instantly applied to almost any system, and rapidly improve your user privacy without spiraling time and resource costs.
about the technology
Preserving the privacy of your users is essential for any successful business. Well-designed processes and data governance ensure that privacy is built into your systems from the ground up, keeping your users safe and helping your organization maintain compliance with the law.
about the book
Privacy by Design is a hands-on guide to building a modern and flexible privacy program for your organization. It helps map essential legal requirements into practical engineering techniques that you can implement right away.
The book develops your strategic understanding of data governance and helps you navigate the tricky trade-offs between privacy and business needs. You’ll learn to spot risks in your own data management systems, and prepare to satisfy both internal and external privacy audits. There’s no bureaucratic new processes or expensive new software necessary. You’ll learn how to repurpose the data and security tools you already use to achieve your privacy goals.
about the reader
about the author
Nishant Bhajaria leads the Technical Privacy and Strategy teams for Uber. He heads a large team that includes data scientists, engineers, privacy experts and others as they seek to improve data privacy for the customers and the company. His role has significant levels of cross-functional visibility and impact. Previously he worked in compliance, data protection, security, and privacy at Google. He was also the head of privacy engineering at Netflix. He is a well-known expert in the field of data privacy, has developed numerous courses on the topic, and has spoken extensively at conferences and podcasts.
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Provides a clear and thorough explanation of the how and the why of data privacy pitched at a level which isn't too technical, yet has a sufficient level of detail to allow for interpretation of implementation.
Really interesting subject matter. The author provides relevant examples and obviously has a lot of direct experience.