Overview

Engineer privacy into software, systems, and applications. This book is a resource for developers, engineers, architects, and coders. It provides tools, methodologies, templates, worksheets, and guidance on engineering privacy into software-from ideation to release and beyond-for technologies, products, systems, solutions, and applications. This book can be used in conjunction with the ApressOpen bestseller, The Privacy Engineer's Manifesto. This book trains and equips users to engage in their own privacy scoping requirements workshops, write privacy use cases or stories for agile development, document UI privacy patterns, conduct assessments, and align with product and information security teams. And, perhaps most importantly, the book brings clarity to a vitally important need-the protection of personal information-that is often shrouded in mystery during the engineering process. Go from policy to code to QA to value, all within these pages. What You Will Learn Think of the Fair Information Principles as actionable, normative statements Decode privacy into functional requirements that can be designed and coded Prepare and conduct a privacy scoping requirements workshop Translate privacy requirements into usable stories for agile development Guide user interface designers in creating privacy controls and interfaces Access software, systems, applications, and apps to see if the necessary privacy controls are in place Create privacy engineering documentation (such as data flow diagrams and privacy impact assessments) so that tribal lore is translated into institutional knowledge Access and ready the enterprise to support privacy engineering Who This Book Is For Serves multiple stakeholders, including those involved in architecting, designing, developing, deploying, and reviewing systems, products, processes, applications, and apps that process personal information. This workbook will appeal to software/hardware engineers, technical program and product managers, support and sales engineers, system integrators, IT professionals, lawyers, and information privacy and security professionals.

Full Product Details

Author:   Michelle Finneran Dennedy ,  Jonathan Fox ,  Thomas Finneran ,  Lisa Bobbitt
Publisher:   APress
Imprint:   APress
Edition:   1st ed.
ISBN:  

9781484237052

ISBN 10:   1484237056
Pages:   276
Publication Date:   28 February 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Not yet available  
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

Section 1: Privacy Engineering is Process, Data, and Innovation Centric Introduction Characteristics of Privacy Engineering Privacy Engineering is Process-Centric Privacy Engineering is Data-Centric Privacy Engineering is Innovation-Centric Privacy Engineering builds on PbDTM Workbook Use Case: MyCareerStages Conclusion Section 2: The Six Steps of the Privacy Engineering Process The Aha! Moment Step 1: Identifying the Enterprise & User Goals Step 3: Mapping Requirements to Offering/Data Processes Step 4: Embedding Privacy through Training, Processes and Technology Step 5: Verifying Privacy Requirements are Met - Quality Assurance Step 6: If any changes (and there is always change), go back to Step 1 Conclusion Section 3: Privacy Engineering Implementation Best Practices Practice 1: Establish A Privacy Aware Enterprise Practice 2: Document User Goals with Privacy Aware Use Case(s) Practice 3: Build and Maintain Your Enterprise Privacy Policy Practice 4: Embed Privacy Engineering into Your Existing Development and Operational Lifecycle Practice 5: Build Privacy Requirements into Privacy User Stories Practice 6: Embed Privacy Controls via Privacy Enhancing Processes and Technologies Practice 7: Embed Privacy Awareness and Transparency into the Organization Practice 8: Managing Data with Operationalized Governance, Protection and Privacy Practice 9: Gathering Requirements and Planning a Privacy Requirements Workshop Conclusion Section 4: Workbook Use Case Details Epic 1: MyJobsFuture Epic 2: MyRecruitingPlace Epic 3: MyCareerStages My FutureJobsRUs Privacy Statement/Policy Conclusion Section 5: Exercise Answers for FutureJobsRUs Exercise 1: Identify PII Exercise 2: Scoping your Organization Questionnaire Example for FutureJobsRUs Exercise 3: Draw a Use Case Diagram Exercise 4: Map Your Enterprise Policy into Privacy Requirements Exercise 5: Capture the Data Inventory Exercise 6: Complete Guide for Reviewing a User Diagram for Privacy Requirements Exercise 7: Develop Privacy User Stories and Map to Agile Epic Exercise 8: Identify Risk, Threat and Vulnerability Exercise 9: Scoping Your Enterprise Organization Exercise 10: Evaluate Your Design and Development Methodology Exercise 11: Document Existing Privacy Enhancing Processes and Privacy Enhancing Technologies Exercise 12: Map Privacy User Stories to PETs and PEPs. Exercise 13: Develop a Privacy Data Sheet for your use case Exercise 14: Complete a Privacy Impact Assessment for your use case Exercise 15: Revisit Step 6 for Epic 2 Exercise 16: Revisit Step 6 for Epic 3 Section 6: Supplemental Information Appendix 1: Terms & Foundational Concepts Appendix 2: Operational Definition of Privacy Appendix 3: Twelve Privacy Controls Framework Appendix 4: Foundational Privacy Actors Appendix 5: Agile Privacy Engineered User Stories Appendix 6: Layering Privacy Engineering into Existing Development Appendix 7: Privacy Requirements Workshop Sample Agenda Appendix 8: Privacy Requirements Workshop Sample Slides References List of Figures List of Tables Section 7: Worksheet Pull-Outs Worksheet 1: Identify PII attributes Worksheet 2: Scoping your Organization Questionnaire Worksheet 3: Use Case Diagram Worksheet 4: Map Enterprise Policy into Privacy Requirements Worksheet 5: Capture Data Inventory Worksheet 6: Discussion Guide for Reviewing a Context Diagram for Privacy Requirements Worksheet 7: Develop Privacy User Stories and Map to Agile Epic Worksheet 8: Identify Risk, Threat and Vulnerability Worksheet 9: Scoping Your Enterprise Data Foundation Worksheet 10: Evaluate Your Design and Development Methodology Worksheet 11: Document Existing Privacy Enhancing Processes and Privacy Enhancing Technologies Worksheet 12: Map user stories to controls, PETs and PEPs. Worksheet 13: Develop a Privacy Data Sheet for a User Story Worksheet 14: Privacy Impact Assessment Worksheet 15: Revisit Step 6 Questions

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Author Information

Michelle Finneran Dennedy (@mdennedy) is Vice President and Chief Privacy Officer at Cisco, where she works to raise awareness and create tools that promote privacy, quality, integrity, respect, and asset-level possibilities for data. A sought-after technology industry speaker and thought leader, Michelle is passionate about data privacy and protection, and for building better technology that matters. She works closely with families, executives, innovators, and dreamers at all levels and in businesses and organizations at all stages to support the combination of policy, practice, and tools. She is a board member of the International Association of Privacy Professionals (IAPP) and the Committee for Economic Development (CED), and the chair of the IEEE 7002 Working Group on Data Privacy. Jonathan Fox is Director of Privacy Engineering and Strategy and Planning, a member of Cisco's Chief Privacy Office, and co-author of The Privacy Engineer's Manifesto: Getting from Policy to Code to QA to Value (ApressOpen). With over 17 years of privacy experience, Jonathan's principal areas of focus have been product development, government relations, mergers and acquisitions, and training. He is a Certified Information Privacy Professional (CIPP/US), a Certified Information Privacy Manager (CIPM), and was a Certified Information Security Manager (CISM). Prior to joining Cisco, he was Senior Privacy Engineer at Intel. His previous roles have included Director of Data Privacy for McAfee, Director of Privacy for eBay, Deputy Chief Privacy Officer for Sun Microsystems, and Editor-in-Chief of sun.com. Jonathan frequently speaks at industry events and is a member of the IEEE P7002 Personal Data Privacy Working Group and the OASIS Privacy by Design Documentation for Software Engineers Technical Committee. Thomas R. Finneran is a principal consultant for the iDennedy Project. He has proposed an approach to use the Organization for the Advancement of Structured Information Standards (OASIS) UML Standard for privacy analysis. Tom was a consultant for over 25 years for CIBER, Inc. He has acquired over 25 years of experience in the field of information technology. His strengths include: enterprise (including data, information, knowledge, business, and application) architecture, business and data analysis, UML object analysis and design, logical data modeling, database systems design and analysis, information resource management methodologies, CASE and metadata repository tools, project management, and computer law. He is experienced in almost all application system areas, including real-time data collection systems, inventory control, sales and order processing, personnel, all types of financial systems, the use of expert systems, and project management systems. Tom has developed and taught training courses in the areas of use cases, relational concepts, strategic data planning, logical data modeling, and the utilization of CASE tools, among others. He is also an experienced intellectual property patent lawyer. For various companies, he has held titles such as director, MIS; manager, corporate data strategy; manager, data administration; managing consultant; manager, standards and education; and systems designer. These companies include the Standard Oil Company, Corning Glass Works, ITT, ADR, and the US Navy. In addition, he was vice president and general counsel of TOMARK, Inc., and the developer of the highly successful ABEND-AID software package. Tom has a BA degree from Ohio State University, an MBA degree from Roosevelt University, and a JD degree from Cleveland State University. He is a member of the bar of the US Supreme Court and a member of the bar of Ohio, New Jersey, and Connecticut, and a member of the Patent Bar. Lisa Bobbitt, CISSP, CIPM, CIPP-E, is the lead Privacy Engineering architect in Cisco's Privacy Office. She is passionate about embedding privacy awareness, governance, and technology across Cisco by building on the foundation of years of working and innovating (seven patents) in mainframe connectivity, mobile routing protocols, innovative concepts in 3D, voice/video/data in Stadium Vision, government adaptation, and trustworthy systems. Lisa believes that every person is a digital citizen and should be a privacy advocate, starting with understanding the value of authorized use of our personally identifiable information and that the processors of our personal data are making it easy for each of us to manage our PII. She has a BS degree in Computer Science from North Carolina State University and an MBA degree from Duke University. Michele D. Guel (@MicheleDGuel) has been an avid speaker, influencer, and evangelist in the cybersecurity industry for 31 years. She joined Cisco in March of 1996 as the founding member of Cisco's internal security team. During her 23+ years at Cisco, she has worked in all facets of cybersecurity and has the established many firsts at Cisco. In 2010, Michele was promoted to Distinguished Engineer, one of eight female DEs across Cisco today. In 2014, she co-founded Cisco's Women in Cybersecurity Community which focuses on developing the next generation of women cybersecurity leaders. In 2014, she was named one of the SANS People Who Make a Difference in Cybersecurity and in 2016, she received the prestigious Anita Borg 2016 Women of Vision Technology Leadership Award. Her current focus is IoT security strategies.

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