Controlling Privacy and the Use of Data Assets - Volume 1 e-bog
348,37 DKK
(inkl. moms 435,46 DKK)
"e;Ulf Mattsson leverages his decades of experience as a CTO and security expert to show how companies can achieve data compliance without sacrificing operability."e;Jim Ambrosini, CISSP, CRISC, Cybersecurity Consultant and Virtual CISO"e;Ulf Mattsson lays out not just the rationale for accountable data governance, he provides clear strategies and tactics that every business leader ...
E-bog
348,37 DKK
Forlag
CRC Press
Udgivet
27 juni 2022
Længde
312 sider
Genrer
Computer security
Sprog
English
Format
epub
Beskyttelse
LCP
ISBN
9781000599985
"e;Ulf Mattsson leverages his decades of experience as a CTO and security expert to show how companies can achieve data compliance without sacrificing operability."e;Jim Ambrosini, CISSP, CRISC, Cybersecurity Consultant and Virtual CISO"e;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."e;Richard Purcell, CEO Corporate Privacy Group and former Microsoft Chief Privacy OfficerMany 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 includeTrends and EvolutionBest Practices, Roadmap, and VisionZero Trust ArchitectureApplications, Privacy by Design, and APIsMachine Learning and AnalyticsSecure Multiparty ComputingBlockchain and Data Lineage Hybrid Cloud, CASB, and SASEHSM, TPM, and Trusted Execution EnvironmentsInternet of ThingsQuantum ComputingAnd much more!