The Comprehensive Guide to Engineering and Implementing Privacy Best Practices As systems grow more complex and cybersecurity attacks more relentless, safeguarding privacy is ever more challenging. Organizations are increasingly responding in two ways, and both are mandated by key standards such as GDPR and ISO/IEC 27701:2019. The first approach, privacy by design, aims to embed privacy throughout the design and architecture of IT systems and business practices. The second, privacy engineering, encompasses the technical capabilities and management processes needed to implement, deploy, and operate privacy features and controls in working systems. In Information Privacy Engineering and Privacy by Design, internationally renowned IT consultant and author William Stallings brings together the comprehensive knowledge privacy executives and engineers need to apply both approaches. Using the techniques he presents, IT leaders and technical professionals can systematically anticipate and respond to a wide spectrum of privacy requirements, threats, and vulnerabilities—addressing regulations, contractual commitments, organizational policies, and the expectations of their key stakeholders. • Review privacy-related essentials of information security and cryptography • Understand the concepts of privacy by design and privacy engineering • Use modern system access controls and security countermeasures to partially satisfy privacy requirements • Enforce database privacy via anonymization and de-identification • Prevent data losses and breaches • Address privacy issues related to cloud computing and IoT • Establish effective information privacy management, from governance and culture to audits and impact assessment • Respond to key privacy rules including GDPR, U.S. federal law, and the California Consumer Privacy Act This guide will be an indispensable resource for anyone with privacy responsibilities in any organization, and for all students studying the privacy aspects of cybersecurity.

"It's our thesis that privacy will be an integral part of the next wave in the technology revolution and that innovators who are emphasizing privacy as an integral part of the product life cycle are on the right track." --The authors of The Privacy Engineer's Manifesto The Privacy Engineer's Manifesto: Getting from Policy to Code to QA to Value is the first book of its kind, offering industry-proven solutions that go beyond mere theory and adding lucid perspectives on the challenges and opportunities raised with the emerging "personal" information economy. The authors, a uniquely skilled team of longtime industry experts, detail how you can build privacy into products, processes, applications, and systems. The book offers insight on translating the guiding light of OECD Privacy Guidelines, the Fair Information Practice Principles (FIPPs), Generally Accepted Privacy Principles (GAPP) and Privacy by Design (PbD) into concrete concepts that organizations, software/hardware engineers, and system administrators/owners can understand and apply throughout the product or process life cycle—regardless of development methodology—from inception to retirement, including data deletion and destruction. In addition to providing practical methods to applying privacy engineering methodologies, the authors detail how to prepare and organize an enterprise or organization to support and manage products, process, systems, and applications that require personal information. The authors also address how to think about and assign value to the personal information assets being protected. Finally, the team of experts offers thoughts about the information revolution that has only just begun, and how we can live in a world of sensors and trillions of data points without losing our ethics or value(s)...and even have a little fun. The Privacy Engineer's Manifesto is designed to serve multiple stakeholders: Anyone who is involved in designing, developing, deploying and reviewing products, processes, applications, and systems that process personal information, including software/hardware engineers, technical program and product managers, support and sales engineers, system integrators, IT professionals, lawyers, and information privacy and security professionals. This book is a must-read for all practitioners in the personal information economy. Privacy will be an integral part of the next wave in the technology revolution; innovators who emphasize privacy as an integral part of the product life cycle are on the right track. Foreword by Dr. Eric Bonabeau, PhD, Chairman, Icosystem, Inc. & Dean of Computational Sciences, Minerva Schools at KGI.

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

Annotation Technology's influence on privacy has become a matter of everyday concern for millions of people, from software architects designing new products to political leaders and consumer groups. This book explores the issue from the perspective of technology itself: how privacy-protective features can become a core part of product functionality, rather than added on late in the development process.

Information privacy is the major defining issue of today's Internet enabled World. To construct information systems from small mobile 'apps' to huge, heterogeneous, cloudified systems requires merging together skills from software engineering, legal, security and many other disciplines - including some outside of these fields! Only through properly modelling the system under development can we full appreciate the complexity of where personal data and information flows; and more importantly, effectively communicate this.This book presents an approach based upon data flow modelling, coupled with standardised terminological frameworks, classifications and ontologies to properly annotate and describe the flow of information into, out of and across these systems. Also provided are structures and frameworks for the engineering process, requirements and audits; and even the privacy programme itself, but takes a pragmatic approach and encourages using and modifying the tools and techniques presented as the local context and needs require.

This book provides a practical and comprehensive approach to information security and privacy law for both international and domestic statutes. It provides all the tools needed to handle the business, legal and technical risks of protecting information on a global scale. For anyone responsible for or advising a corporation involved in domestic or international business, who must comply with a dizzying array of statutes, regulations, technologies, methodologies and standards, this book is for you.