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

Product type Paperback

Published in Nov 2022

Publisher Packt

ISBN-13 9781803233581

Length 252 pages

Edition 1st Edition

Concepts

Cloud Computing

Author (1):

Sreekanth Iyer

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Table of Contents (18) Chapters

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

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Protecting data in transit patterns

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Problem

Data is exchanged between the requestor and receiver. How do we protect this data that is being exchanged or transmitted over the internet or intranet?

Context

The data exchanged or transmitted over the net is often referred to as data in transit or data in motion. In a hybrid multi-cloud world, data needs to be exchanged across several on-premise and cloud applications. There are several service-to-service communications that also happen on-premise or within the cloud that need to be protected. With digitization, the data is accessible from many devices by employees as well as users from customer and partner organizations. There are industry and geography-specific guidelines such as PCI DSS, GDPR, and HIPAA that mandate the data to be safeguarded meeting regulatory guidelines. Loss of data to the wrong hands can possibly incur financial penalties and reputational risks. Data in motion poses many risks...