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Hybrid Cloud Security Patterns

You're reading from   Hybrid Cloud Security Patterns Leverage modern repeatable architecture patterns to secure your workloads on the cloud

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Product type Paperback
Published in Nov 2022
Publisher Packt
ISBN-13 9781803233581
Length 252 pages
Edition 1st Edition
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Author (1):
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Sreekanth Iyer Sreekanth Iyer
Author Profile Icon Sreekanth Iyer
Sreekanth Iyer
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Table of Contents (18) Chapters Close

Preface 1. Part 1: Introduction to Cloud Security
2. Chapter 1: Opportunities and Challenges with Hybrid Multi-cloud Solutions FREE CHAPTER 3. Chapter 2: Understanding Shared Responsibility Model for Cloud Security 4. Part 2: Identity and Access Management Patterns
5. Chapter 3: Cloud Identity and Access Management 6. Chapter 4: Implementing Identity and Access Management for Cloud Applications 7. Part 3: Infrastructure Security Patterns
8. Chapter 5: How to Secure Compute Infrastructure 9. Chapter 6: Implementing Network Isolation, Secure Connectivity, and Protection 10. Part 4: Data and Application Security Patterns
11. Chapter 7: Data Security Patterns 12. Chapter 8: Shift Left Security for DevOps 13. Part 5: Cloud Security Posture Management and Zero Trust Architecture
14. Chapter 9: Managing the Security Posture for Your Cloud Deployments 15. Chapter 10: Building Zero Trust Architecture with Hybrid Cloud Security Patterns 16. Index 17. Other Books You May Enjoy

Data Security Patterns

In this chapter, we will learn about the patterns that can be leveraged to secure data and storage resources in multiple clouds. The key areas covered will be as follows:

  • Protecting data at rest
  • Protecting data in transit
  • Protecting data in use

The primary object of the data security patterns shared in the following diagram is to protect the data with respect to the following aspects:

  • Confidentiality – Making sure that only the people who need to know are made aware of the information and that no one else can access it in an unauthorized way.
  • Integrity – Ensuring that the content, while it is transferred or communicated, is not altered in transmission. Data integrity refers to maintaining and assuring the accuracy and consistency of data over its entire life cycle.
  • Availability – Ensuring the data is available to the right authorized entities at the right time and is accessible.
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