Data Privacy - by Nishant Bhajaria (Paperback)

About the Book

Engineer privacy into your systems with these hands-on techniques for data governance, legal compliance, and surviving security audits.

In Privacy Engineering youwill learn how to:

Classify data based on privacy risk Build technical tools to catalog and discover data in your systems Share data with technical privacy controls to measure reidentification risk Implement technical privacy architectures to delete data Set up technical capabilities for data export to meet legal requirements like Data Subject Requests (DSAR) Establish a technical privacy review process to help accelerate the legal Privacy Impact Assessment (PIA) Design a Consent Management Platform (CMP) to capture user consent Implement security tooling to help optimize privacy Build a holistic program that will get support and funding from the C-Level and board

Privacy Engineering teaches you to implement technical privacy solutions and tools at scale. You'll learn from author Nishant Bhajaria, an industry-renowned expert who has overseen the privacy programs at Google, Netflix, and Uber. You'll find technical methods that can be instantly applied to almost any system, and improve your user privacy without spiraling time and resource costs.

Book Synopsis

Engineer privacy into your systems with these hands-on techniques for data governance, legal compliance, and surviving security audits.

"I wish I had had this text in 2015 or 2016 at Netflix, and it would have been very helpful in 2008-2012 in a time of significant architectural evolution of our technology."
Neil Hunt, Former CPO, Netflix

In Data Privacy you will learn how to:

Classify data based on privacy risk
Build technical tools to catalog and discover data in your systems
Share data with technical privacy controls to measure reidentification risk
Implement technical privacy architectures to delete data
Set up technical capabilities for data export to meet legal requirements like Data Subject Asset Requests (DSAR)
Establish a technical privacy review process to help accelerate the legal Privacy Impact Assessment (PIA)
Design a Consent Management Platform (CMP) to capture user consent
Implement security tooling to help optimize privacy
Build a holistic program that will get support and funding from the C-Level and board

Data Privacy teaches you to design, develop, and measure the effectiveness of privacy programs. You'll learn from author Nishant Bhajaria, an industry-renowned expert who has overseen privacy at Google, Netflix, and Uber. The terminology and legal requirements of privacy are all explained in clear, jargon-free language. The book's constant awareness of business requirements will help you balance trade-offs, and ensure your user's privacy can be improved without spiraling time and resource costs.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the technology
Data privacy is essential for any business. Data breaches, vague policies, and poor communication all erode a user's trust in your applications. You may also face substantial legal consequences for failing to protect user data. Fortunately, there are clear practices and guidelines to keep your data secure and your users happy.

About the book
Data Privacy: A runbook for engineers teaches you how to navigate the trade-offs between strict data security and real world business needs. In this practical book, you'll learn how to design and implement privacy programs that are easy to scale and automate. There's no bureaucratic process--just workable solutions and smart repurposing of existing security tools to help set and achieve your privacy goals.

What's inside

Classify data based on privacy risk
Set up capabilities for data export that meet legal requirements
Establish a review process to accelerate privacy impact assessment
Design a consent management platform to capture user consent

About the reader
For engineers and business leaders looking to deliver better privacy.

About the author
Nishant Bhajaria leads the Technical Privacy and Strategy teams for Uber. His previous roles include head of privacy engineering at Netflix, and data security and privacy at Google.

Table of Contents
PART 1 PRIVACY, DATA, AND YOUR BUSINESS
1 Privacy engineering: Why it's needed, how to scale it
2 Understanding data and privacy
PART 2 A PROACTIVE PRIVACY PROGRAM: DATA GOVERNANCE
3 Data classification
4 Data inventory
5 Data sharing
PART 3 BUILDING TOOLS AND PROCESSES
6 The technical privacy review
7 Data deletion
8 Exporting user data: Data Subject Access Requests
PART 4 SECURITY, SCALING, AND STAFFING
9 Building a consent management platform
10 Closing security vulnerabilities
11 Scaling, hiring, and considering regulations

From the Back Cover

PrivacyEngineering is a hands-on guide to building a modern and flexible privacy program for your organization. You'll create technical solutions that meet essential legal/compliance requirements and build arelationship of trust with your customers.The book helps you implement scalable tools and methods to navigate the tricky trade-offs between privacy and business needs.You'll quickly see how front-loading and automating your privacy program helps you spot risks in your own data management systems. Throughout, examples and architectures show you how to build the kind of privacy that both your customers and the law demand. There's no bureaucratic new process; just hands-on technical solutions and smart repurposing of your existing security tools to achieve your privacy goals.

Review Quotes

"A great high-level resource on privacy as it relates to the data collected by business software systems." Joe Ivans

"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." Matthew Todd

"Really interesting subject matter. The author provides relevant examples and obviously has a lot of direct experience." John Tyler

"A great resource on approaching data privacy." Doniyor Ulmasov

"The best parts are the personal elements added to the narrative. I also enjoyed the case studies that help to illustrate the examples provided throughout." Ayana Miller

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.