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Full Description
"Ulf Mattsson leverages his decades of experience as a CTO and security expert to show how companies can achieve data compliance without sacrificing operability."
Jim Ambrosini, CISSP, CRISC, Cybersecurity Consultant and Virtual CISO
"Ulf Mattsson lays out not just the rationale for accountable data governance, he provides clear strategies and tactics that every business leader should know and put into practice. As individuals, citizens and employees, we should all take heart that following his sound thinking can provide us all with a better future."
Richard Purcell, CEO Corporate Privacy Group and former Microsoft Chief Privacy Officer
Many security experts excel at working with traditional technologies but fall apart in utilizing newer data privacy techniques to balance compliance requirements and the business utility of data. This book will help readers grow out of a siloed mentality and into an enterprise risk management approach to regulatory compliance and technical roles, including technical data privacy and security issues.
The book uses practical lessons learned in applying real-life concepts and tools to help security leaders and their teams craft and implement strategies. These projects deal with a variety of use cases and data types. A common goal is to find the right balance between compliance, privacy requirements, and the business utility of data.
This book reviews how new and old privacy-preserving techniques can provide practical protection for data in transit, use, and rest. It positions techniques like pseudonymization, anonymization, tokenization, homomorphic encryption, dynamic masking, and more. Topics include
Trends and Evolution
Best Practices, Roadmap, and Vision
Zero Trust Architecture
Applications, Privacy by Design, and APIs
Machine Learning and Analytics
Secure Multiparty Computing
Blockchain and Data Lineage
Hybrid Cloud, CASB, and SASE
HSM, TPM, and Trusted Execution Environments
Internet of Things
Quantum Computing
And much more!
Contents
Introduction, Acknowledgments. About the Author. SECTION I Introduction and Vision. Chapter 1 Privacy, Risks, and Threats. Chapter 2 Trends and Evolution. Chapter 3 Best Practices, Roadmap, and Vision. SECTION II Data Confidentiality and Integrity. Chapter 4 Computing on Encrypted Data. Chapter 5 Reversible Data Protection Techniques. Chapter 6 Non-Reversible Data Protection Techniques. SECTION III Users and Authorization. Chapter 7 Access Control. Chapter 8 Zero Trust Architecture. SECTION IV Applications. Chapter 9 Applications, APIs, and Privacy by Design. Chapter 10 Machine Learning and Analytics. Chapter 11 Secure Multiparty Computing. Chapter 12 Encryption and Tokenization of International Unicode Data. Chapter 13 Blockchain and Data Lineage. SECTION V Platforms. Chapter 14 Hybrid Cloud, CASB, and SASE. Chapter 15 HSM, TPM, and Trusted Execution Environments. Chapter 16 Internet of Things. Chapter 17 Quantum Computing. Chapter 18 Summary. Appendix A Standards and Regulations. Appendix B Governance, Guidance, and Frameworks. Appendix C Data Discovery and Search. Appendix D Digital Commerce, Gamification, and AI. Appendix E Innovation and Products. Appendix F Glossary. Index.
