Buch, Englisch, 318 Seiten, Format (B × H): 178 mm x 254 mm, Gewicht: 771 g
What Is the New World Currency - Data or Trust?
Buch, Englisch, 318 Seiten, Format (B × H): 178 mm x 254 mm, Gewicht: 771 g
Reihe: Security, Audit and Leadership Series
ISBN: 978-1-032-18516-3
Verlag: CRC Press
Based on a good understanding of new and old technologies, emerging trends, and a broad experience from many projects in this domain, this book will provide a unique context about the WHY (requirements and drivers), WHAT (what to do), and HOW (how to implement), as well as reviewing the current state and major forces representing challenges or driving change, what you should be trying to achieve and how you can do it, including discussions of different options. We will also discuss WHERE (in systems) and WHEN (roadmap). Unlike other general or academic texts, this book is being written to offer practical general advice, outline actionable strategies, and include templates for immediate use. It contains diagrams needed to describe the topics and Use Cases and presents current real-world issues and technological mitigation strategies. The inclusion of the risks to both owners and custodians provides a strong case for why people should care.
This book reflects the perspective of a Chief Technology Officer (CTO) and Chief Security Strategist (CSS). The Author has worked in and with startups and some of the largest organizations in the world, and this book is intended for board members, senior decision-makers, and global government policy officials—CISOs, CSOs, CPOs, CTOs, auditors, consultants, investors, and other people interested in data privacy and security. The Author also embeds a business perspective, answering the question of why this an important topic for the board, audit committee, and senior management regarding achieving business objectives, strategies, and goals and applying the risk appetite and tolerance.
The focus is on Technical Visionary Leaders, including CTO, Chief Data Officer, Chief Privacy Officer, EVP/SVP/VP of Technology, Analytics, Data Architect, Chief Information Officer, EVP/SVP/VP of I.T., Chief Information Security Officer (CISO), Chief Risk Officer, Chief Compliance Officer, Chief Security Officer (CSO), EVP/SVP/VP of Security, Risk Compliance, and Governance. It can also be interesting reading for privacy regulators, especially those in developed nations with specialist privacy oversight agencies (government departments) across their jurisdictions (e.g., federal and state levels).
Zielgruppe
Professional
Autoren/Hrsg.
Fachgebiete
- Rechtswissenschaften Öffentliches Recht Staats- und Verfassungsrecht
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
- Sozialwissenschaften Soziologie | Soziale Arbeit Soziale Gruppen/Soziale Themen Ethische Themen & Debatten
- Rechtswissenschaften Öffentliches Recht Verwaltungsrecht Allgemeines Informationsrecht, Datenschutzrecht
- Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein
- Sozialwissenschaften Politikwissenschaft Regierungspolitik Innen-, Bildungs- und Bevölkerungspolitik
- Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Datensicherheit, Datenschutz
- Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerksicherheit
Weitere Infos & Material
Foreword – Ben Rothke, CISSP, CISM, Senior Information Security Manager, Tapad, Inc. New York, NY. Foreword – Jim Ambrosini, CISA, CRISC, CISSP Cybersecurity Consultant and CISO. Foreword – Richard Purcell, CEO, Corporate Privacy Group (former Chief Privacy. Officer, Microsoft). Acknowledgments. About the Author. Introduction. SECTION I Vision and Best Practices. Chapter 1 Risks and Threats. Chapter 2 Opportunities. Chapter 3 Best Practices. Chapter 4 Vision and Roadmap. SECTION II Trust and Hybrid Cloud. Chapter 5 Zero Trust and Hybrid Cloud. Chapter 6 Data Protection for Hybrid Cloud. Chapter 7 Web 3.0 and Data Security. SECTION III Data Quality. Chapter 8 Metadata and the Provenance of Data. Chapter 9 Data Security and Quality. Chapter 10 Analytics, Data Lakes, and Federated Learning. Chapter 11 Summary. Glossary. Appendix A: The 2030 Environment. Appendix B: Synthetic Data and Differential Privacy. Appendix C: API Security. Appendix D: Blockchain Architecture and Zero-Knowledge Proof. Appendix E: Data Governance Tools. Index.