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ISACA Certified in Risk and Information Systems Control (CRISC®) Exam Guide

You're reading from   ISACA Certified in Risk and Information Systems Control (CRISC®) Exam Guide A primer on GRC and an exam guide for the most recent and rigorous IT risk certification

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Product type Paperback
Published in Sep 2023
Publisher Packt
ISBN-13 9781803236902
Length 316 pages
Edition 1st Edition
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Author (1):
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Shobhit Mehta Shobhit Mehta
Author Profile Icon Shobhit Mehta
Shobhit Mehta
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Table of Contents (28) Chapters Close

Preface 1. Part 1: Governance, Risk, and Compliance and CRISC
2. Chapter 1: Governance, Risk, and Compliance FREE CHAPTER 3. Chapter 2: CRISC Practice Areas and the ISACA Mindset 4. Part 2: Organizational Governance, Three Lines of Defense, and Ethical Risk Management
5. Chapter 3: Organizational Governance, Policies, and Risk Management 6. Chapter 4: The Three Lines of Defense and Cybersecurity 7. Chapter 5: Legal Requirements and the Ethics of Risk Management 8. Part 3: IT Risk Assessment, Threat Management, and Risk Analysis
9. Chapter 6: Risk Management Life Cycle 10. Chapter 7: Threat, Vulnerability, and Risk 11. Chapter 8: Risk Assessment Concepts, Standards, and Frameworks 12. Chapter 9: Business Impact Analysis, and Inherent and Residual Risk 13. Part 4: Risk Response, Reporting, Monitoring, and Ownership
14. Chapter 10: Risk Response and Control Ownership 15. Chapter 11: Third-Party Risk Management 16. Chapter 12: Control Design and Implementation 17. Chapter 13: Log Aggregation, Risk and Control Monitoring, and Reporting 18. Part 5: Information Technology, Security, and Privacy
19. Chapter 14: Enterprise Architecture and Information Technology 20. Chapter 15: Enterprise Resiliency and Data Life Cycle Management 21. Chapter 16: The System Development Life Cycle and Emerging Technologies 22. Chapter 17: Information Security and Privacy Principles 23. Part 6: Practice Quizzes
24. Chapter 18: Practice Quiz – Part 1
25. Chapter 19: Practice Quiz – Part 2
26. Index 27. Other Books You May Enjoy

Data classification and labeling

Data classification and labeling are integral parts of data life cycle management. The classification of data determines the sensitivity of the data and the controls that are required to keep it secure.

Data classification refers to the process of categorizing data based on the level of sensitivity and its value to an organization. Data classification determines the robustness of data controls to ensure security. The classification of data can be performed based on the following factors:

  • Regulatory requirements: Data classification may be based on specific regulatory requirements. Regulatory and compliance frameworks such as HIPAA, GDPR, or PCI-DSS require certain types of data, such as Personally Identifiable Information (PII), to be classified and handled in a specific way to ensure compliance.
  • Business impact: Data classification may be based on the level of impact that a loss or breach of the data could have on the business. Highly...
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