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AWS Security Cookbook

You're reading from   AWS Security Cookbook Practical solutions for securing AWS cloud infrastructure with essential services and best practices

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Product type Paperback
Published in Oct 2024
Publisher Packt
ISBN-13 9781835081891
Length 428 pages
Edition 2nd Edition
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Author (1):
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 Kanikathottu Kanikathottu
Author Profile Icon Kanikathottu
Kanikathottu
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Toc

Table of Contents (13) Chapters Close

Preface 1. Chapter 1: Setting Up AWS Accounts and Organization 2. Chapter 2: Access Management with IAM Policies and Roles FREE CHAPTER 3. Chapter 3: Key Management with KMS and CloudHSM 4. Chapter 4: Securing Data on S3 with Policies and Techniques 5. Chapter 5: Network and EC2 Security with VPCs 6. Chapter 6: Web Security Using Certificates, CDNs, and Firewalls 7. Chapter 7: Monitoring with CloudWatch, CloudTrail, and Config 8. Chapter 8: Compliance with GuardDuty, Macie, Inspector, and Analyzer 9. Chapter 9: Advanced Identity and Directory Management 10. Chapter 10: Additional Services and Practices for AWS Security 11. Index 12. Other Books You May Enjoy

Additional Services and Practices for AWS Security

We have looked into many security-related concepts and services throughout this book. There are still more security services and practices that can help us make our AWS infrastructure secure. In this chapter, we will look into some of these additional services and practices that are worth paying attention to. Unlike other chapters, we will not go very deep into these services. You can refer to the links provided in the See also section for further learning. We will learn about some security-related managed services such as AWS Resource Access Manager (AWS RAM), AWS Systems Manager Parameter Store, AWS Secrets Manager, AWS Trusted Advisor, and AWS Artifact. We will also see how we can use Amazon Machine Images (AMIs) and security products from AWS Marketplace.

In this chapter, we will cover the following recipes:

  • Setting up and using AWS RAM
  • Storing sensitive data with the Systems Manager Parameter Store
  • Using AWS...
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