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AWS Certified Security – Specialty Exam Guide

You're reading from   AWS Certified Security – Specialty Exam Guide Build your cloud security knowledge and expertise as an AWS Certified Security Specialist (SCS-C01)

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Product type Paperback
Published in Sep 2020
Publisher Packt
ISBN-13 9781789534474
Length 558 pages
Edition 1st Edition
Tools
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Authors (2):
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Stuart Scott Stuart Scott
Author Profile Icon Stuart Scott
Stuart Scott
Wilberto Palomar Wilberto Palomar
Author Profile Icon Wilberto Palomar
Wilberto Palomar
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Table of Contents (27) Chapters Close

Preface 1. Section 1: The Exam and Preparation
2. AWS Certified Security - Specialty Exam Coverage FREE CHAPTER 3. Section 2: Security Responsibility and Access Management
4. AWS Shared Responsibility Model 5. Access Management 6. Working with Access Policies 7. Federated and Mobile Access 8. Section 3: Security - a Layered Approach
9. Securing EC2 Instances 10. Configuring Infrastructure Security 11. Implementing Application Security 12. DDoS Protection 13. Incident Response 14. Securing Connections to Your AWS Environment 15. Section 4: Monitoring, Logging, and Auditing
16. Implementing Logging Mechanisms 17. Auditing and Governance 18. Section 5: Best Practices and Automation
19. Automating Security Detection and Remediation 20. Discovering Security Best Practices 21. Section 6: Encryption and Data Security
22. Managing Key Infrastructure 23. Managing Data Security 24. Mock Tests 25. Assessments 26. Other Books You May Enjoy

Maintaining compliance with Amazon Macie

Amazon Macie is a managed service, backed by machine learning, that provides an automatic way of detecting, protecting, and classifying data within your S3 buckets. By reviewing and continuously monitoring data object access patterns in S3 and associated CloudTrail log data, Amazon Macie can identify and spot any irregular or suspicious activity that sits outside of what Macie would consider familiar operations, potentially identifying a new security threat. 

Some useful features of Amazon Macie include the following:

  • The ability to use natural language processing (NLP) techniques to interpret data stored in S3, helping to classify it. To learn more about NLP, please visit https://en.wikipedia.org/wiki/Natural_language_processing.
  • The ability to spot changes to specific security policies and ACLs that might affect who has access to your S3 bucket.
  • The ability to categorize information, including sensitive security data such as PII,&...
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