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Mastering AWS Security

You're reading from   Mastering AWS Security Strengthen your cloud environment using AWS security features coupled with proven strategies

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Product type Paperback
Published in Apr 2024
Publisher Packt
ISBN-13 9781805125440
Length 370 pages
Edition 2nd Edition
Tools
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Author (1):
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Laurent Mathieu Laurent Mathieu
Author Profile Icon Laurent Mathieu
Laurent Mathieu
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Toc

Table of Contents (20) Chapters Close

Preface 1. Part 1: Foundations of AWS Security FREE CHAPTER
2. Chapter 1: Introduction to AWS Security Concepts and the Shared Responsibility Model 3. Chapter 2: Infrastructure Security – Keeping Your VPC secure 4. Chapter 3: Identity and Access Management – Securing Users, Roles, and Policies 5. Chapter 4: Data Protection – Encryption, Key Management, and Data Storage Best Practices 6. Chapter 5: Introduction to AWS Security Services 7. Part 2: Architecting and Deploying Secure AWS Environments
8. Chapter 6: Designing Secure Microservices Architectures in AWS 9. Chapter 7: Implementing Security for Serverless Deployments 10. Chapter 8: Secure Design Patterns for Multi-Tenancy in Shared Environments 11. Chapter 9: Automate Everything to Build Immutable and Ephemeral Resources 12. Part 3: Monitoring, Automation and Continuous Improvement
13. Chapter 10: Advanced Logging, Auditing, and Monitoring in AWS 14. Chapter 11: Security Compliance with AWS Config, AWS Security Hub, and Automated Remediation 15. Chapter 12: DevSecOps – Integrating Security into CI/CD Pipelines 16. Chapter 13: Keeping Up with Evolving AWS Security Best Practices and Threat Landscape 17. Chapter 14: Closing Note 18. Index 19. Other Books You May Enjoy

Identifying and protecting sensitive data

As the risk of data exposure grows, it is essential to have a strategy for identifying and securing sensitive data. This section delves into solutions for these challenges.

Macie—your AWS data custodian

Amazon Macie specializes in safeguarding sensitive data stored in S3 buckets. It employs ML and pattern matching to identify your sensitive information.

Key features

Macie has the following key features:

  • Automated data discovery: Macie utilizes ML algorithms to automatically scan and identify a wide range of sensitive data, including personally identifiable information (PII), financial records, credit card numbers, and confidential text within S3 buckets. This comprehensive approach eliminates the need for manual data classification, streamlining the process for greater efficiency and accuracy.
  • Comprehensive risk assessment: Macie conducts a thorough evaluation of your S3 bucket access controls and policies, generating...
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