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Cybersecurity and Privacy Law Handbook

You're reading from   Cybersecurity and Privacy Law Handbook A beginner's guide to dealing with privacy and security while keeping hackers at bay

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Product type Paperback
Published in Dec 2022
Publisher Packt
ISBN-13 9781803242415
Length 230 pages
Edition 1st Edition
Languages
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Author (1):
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Walter Rocchi Walter Rocchi
Author Profile Icon Walter Rocchi
Walter Rocchi
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Toc

Table of Contents (18) Chapters Close

Preface 1. Part 1: Start From the Basics
2. Chapter 1: ISO27001 – Definitions and Security Concepts FREE CHAPTER 3. Part 2: Into the Wild
4. Chapter 2: Mandatory Requirements 5. Chapter 3: Data Protection 6. Chapter 4: Data Processing 7. Chapter 5: Security Planning and Risk Management 8. Part 3: Escape from Chaos
9. Chapter 6: Define ISO 27001 Mandatory Requirements 10. Chapter 7: Risk Management, Controls, and Policies 11. Chapter 8: Preparing Policies and Procedures to Avoid Internal Risk 12. Chapter 9: Social Engineering, Password Guidance, and Policy 13. Chapter 10: The Cloud 14. Chapter 11: What about the US? 15. Index 16. Other Books You May Enjoy Appendix

Data classification

We started this chapter talking about assets, and data classification is the process of organizing data assets, so it’s worth a mention here.

Data classification involves building a classification scheme and defining one or more taxonomies for the whole organization. A categorization system facilitates the efficient determination of data action priorities and intensities. Data classification depends on characteristics such as criticality, security, access and usage, privacy, ethics, data quality, and storage needs.

Why is the classification of data important?

Classification of data offers businesses with an interface for implementing rules and processes across data types, structures, and storage systems. Classified data enables an organization to create and apply a single handling policy for sensitive data across numerous systems and data items. Defining many rules for each sort of data item is impractical in contexts with plentiful data today.

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