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Home > Computing and Information Technology > Computer security > Privacy and data protection > Safeguarding the Future: Security and Privacy by Design for AI, Metaverse, Blockchain, and Beyond(Security, Audit and Leadership Series)
Safeguarding the Future: Security and Privacy by Design for AI, Metaverse, Blockchain, and Beyond(Security, Audit and Leadership Series)

Safeguarding the Future: Security and Privacy by Design for AI, Metaverse, Blockchain, and Beyond(Security, Audit and Leadership Series)


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About the Book

In the ever-evolving landscape of technology, emerging innovations like artificial intelligence (AI), blockchain, quantum computing, brain–computer interfaces (BCIs), and the Metaverse are transforming industries at an unprecedented rate. However, with these advancements come significant challenges, particularly in the realms of security and privacy. Safeguarding the Future: Security and Privacy by Design for AI, Metaverse, Blockchain, and Beyond by Dr. Alan Tang offers a comprehensive guide to navigating these challenges, providing a holistic framework to secure and protect the privacy of these cutting-edge technologies.

What sets this book apart is its unique blend of technical depth and practical application. Dr. Tang leverages his extensive experience in privacy and security to deliver actionable insights that are crucial for organizations looking to stay ahead in this rapidly changing digital era. From aligning business strategies with security and privacy goals to implementing unified frameworks across multiple technologies, this book is an essential resource for executives, security professionals, and anyone involved in the deployment of emerging technologies.

Key Features:

  • In-Depth Analysis: Detailed exploration of the security and privacy risks associated with AI, blockchain, quantum computing, BCI, and other emerging technologies.
  • Unified Frameworks: A comprehensive, step-by- step guide to creating and operationalizing a unified security and privacy framework adaptable to various technologies.
  • Regulatory Alignment: Insights into aligning security and privacy practices with global regulations such as GDPR, CCPA, and ISO standards.
  • Case Studies and Real-World Examples: Practical case studies and examples that illustrate how to apply the concepts discussed in real-world scenarios.
  • Ethical Considerations: Examination of ethical issues surrounding the deployment of these technologies, with recommendations for addressing them proactively.
  • Future-Proofing Strategies: Guidance on preparing for future advancements and ensuring long-term compliance and security.

Whether you are a chief technology officer, chief privacy officer, data protection officer, or a security professional, this book equips you with the knowledge and tools needed to protect your organization’s data and ensure the secure deployment of emerging technologies. By adopting the principles outlined in this book, you can not only harness the full potential of these innovations but also safeguard the privacy and security of your organization and its stakeholders.



Table of Contents:

PART I. Emerging Technologies: Promises, Risks, and Data Protection Framework, 1. Industrial Revolution and Emerging Technologies, 2. Unified Security and Privacy Protection Framework, PART II. Artificial Intelligence and Data Protection Framework, 3. Foundations of AI, 4. AI Algorithms, Models, and Architectures, 5. AI Risks and Challenges, 6. Responsible AI Security and Privacy Architecture, PART III. Quantum Computing, Big Data, and Data Protection, 7. Quantum Computing, 8. Big Data, PART IV. Super Connection and Data Protection, 9. 5G Technologies and Security and Privacy Architecture, 10. Brain–Computer Interface (BCI), 11. Internet of Things, PART V. Decentralization, Metaverse, and Data Protection, 12. Blockchain, NFT, and Web 3.0, 13. VR, AR, and XR, 14. Metaverse, Appendix A. Security and Privacy Protection Control Objectives and Measures, Appendix B. EU GDPR One-Pager, Appendix C. EU AI Act One-Pager, Appendix D. EU DSA One-Pager, Appendix E. EU DMA One-Pager, Appendix F. California CPRA One-Pager, Appendix G. China PIPL One-Pager, Appendix H. AI Education or Training Programs, Appendix I. XR Industry Use Cases



About the Author :

Dr. Alan Tang has extensive experience devoted to privacy and security practices. Dr. Tang specializes in establishing and operationalizing risk-based and actionable privacy frameworks and programs in developing and implement emerging technologies such as AI, Blockchain, Big Data, IoT, etc. in alignment with global regulations and standards such as GDPR, CCPA/CPRA, PIPEDA, PIPL, LGPD, GAPP, ISO 27701, and NIST PF, etc. He believes in simplifying, automating, and scaling security and privacy measure to enable business growth.

Dr. Tang has firsthand experience in implementing an enterprise-wide, unified privacy and security framework and program for a Fortune 50 international company. The security and privacy framework has been implemented in 50+ countries through three phases. He has a strong history of working with business leaders in a wide range of security and privacy-related domains such as security assessment, PIA and DPIA, security and privacy policies and procedures, security and privacy-by-design in SDLC, data retention and deletion, data disclosure and sharing, data cross-border transfer, privacy enhancing technologies, awareness training, data breach handling, etc.

Aiming to help organizations to design and implement an actionable privacy framework, Dr. Tang published his first book titled “Privacy in Practice- Establish and Operationalize a Holistic Data Privacy Program” in 2023, which was well received by readers.

Dr. Tang holds a Ph.D. degree in Information Security and an MBA degree. Alan also holds numerous privacy and security designations including FIP, CIPP/E/US/C/A, CIPM, CIPT, CISSP, CISA, PMP, and previously ISO27001LA and PCI DSS QSA.



Review :

In our rapidly evolving digital society, safeguarding personal data has never been more crucial. With big data permeating every sector, it is essential for businesses to recognize this challenge as a strategic priority. In this landscape, Tang's book emerges as a standout resource among countless offerings. I want to emphasize my deep appreciation for this insightful work, which clearly outlines practices tailored to our current needs. I strongly encourage all our colleagues to read it's a must-have guide for navigating the complexities of data protection today.

A well-structured data privacy program serves as both a legal obligation and a strategic asset for organizations. It is instrumental in safeguarding customer trust, enhancing security measures, ensuring compliance with regulations, and bolstering the organization's overall reputation. In a climate where data is increasingly valuable, organizations that prioritize data privacy are more likely to succeed. Conversely, those that neglect this critical aspect may encounter significant legal, financial, and reputational risks. Emphasizing data privacy is not merely advisable; it is essential for achieving sustainable business success.

This book is designed to assist organizations in establishing a cohesive and integrated enterprise-wide privacy program. It provides guidance for business units in delivering privacy protection, maintaining privacy integrity, and implementing appropriate protective measures throughout product development.

The objectives of this book are as follows: -

Align Privacy with Business Strategies: Facilitate the alignment of the privacy program with the overarching goals and strategies of the organization, demonstrating how privacy initiatives can effectively support business objectives.

Extend the Reach of the Privacy Program: Encourage the expansion of the privacy program beyond the confines of the privacy team or specific organizational functions, thus promoting a holistic approach to privacy management.

Clarify Legal Terminology: Convert complex legal language and convoluted text into clear and essential requirements that organizations can readily adopt and implement.

Engage with Business Departments: Foster collaboration with various business units to comprehend privacy within the organization’s specific context, establishing an environment that promotes shared responsibility for privacy.

Identify and Address Program Gaps: Systematically identify and prioritize initiatives that address deficiencies within the privacy program, leading to the establishment of a practical and actionable roadmap for implementation.

Leverage Privacy as a Strategic Asset: Advocate for the perception of privacy as a competitive differentiator that enhances the efficiency of customer data management and innovation, rather than as an impediment.

Integrate Privacy into Daily Operations: Promote awareness and ensure that privacy considerations are embedded into the routine operations of the organization and its personnel. This text serves as a comprehensive resource for enhancing your organization’s privacy practices, emphasizing the critical role of privacy in fostering trust and driving business success.

In today’s digital society, we understand how important it is to protect personal data. As big data influences every sector, it can feel overwhelming for businesses to address this challenge. That's why Tang's book is such a valuable resource. It offers clear guidance on practices that resonate with our current needs. I genuinely encourage all our colleagues to read it; it could be a crucial step in helping us navigate the complexities of data protection together. This work provides exceptional and practical information that is simply unmatched.

Assoc. Prof. Sezer Bozkus Kahyaoglu

Izmir Bakircay University, Türkiye


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Product Details
  • ISBN-13: 9781040303351
  • Publisher: Taylor & Francis Ltd
  • Publisher Imprint: CRC Press
  • Language: English
  • Sub Title: Security and Privacy by Design for AI, Metaverse, Blockchain, and Beyond
  • ISBN-10: 1040303358
  • Publisher Date: 31 Mar 2025
  • Binding: Digital (delivered electronically)
  • Series Title: Security, Audit and Leadership Series


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