Data privacy : a runbook for engineers /
Nishant Bhajaria ; foreword by Neil Hunt.
- xxvi, 355 p. : ill. ; 24 cm
Includes bibliographical references and index.
Content Page: 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
Summary: 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. A runbook for engineers teaches you how to navigate the trade-off s 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.