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Practical Threat Detection Engineering

You're reading from  Practical Threat Detection Engineering

Product type Book
Published in Jul 2023
Publisher Packt
ISBN-13 9781801076715
Pages 328 pages
Edition 1st Edition
Languages
Authors (3):
Megan Roddie Megan Roddie
Profile icon Megan Roddie
Jason Deyalsingh Jason Deyalsingh
Profile icon Jason Deyalsingh
Gary J. Katz Gary J. Katz
Profile icon Gary J. Katz
View More author details
Toc

Table of Contents (20) Chapters close

Preface 1. Part 1: Introduction to Detection Engineering
2. Chapter 1: Fundamentals of Detection Engineering 3. Chapter 2: The Detection Engineering Life Cycle 4. Chapter 3: Building a Detection Engineering Test Lab 5. Part 2: Detection Creation
6. Chapter 4: Detection Data Sources 7. Chapter 5: Investigating Detection Requirements 8. Chapter 6: Developing Detections Using Indicators of Compromise 9. Chapter 7: Developing Detections Using Behavioral Indicators 10. Chapter 8: Documentation and Detection Pipelines 11. Part 3: Detection Validation
12. Chapter 9: Detection Validation 13. Chapter 10: Leveraging Threat Intelligence 14. Part 4: Metrics and Management
15. Chapter 11: Performance Management 16. Part 5: Detection Engineering as a Career
17. Chapter 12: Career Guidance for Detection Engineers 18. Index 19. Other Books You May Enjoy

The Elastic Stack

The Elastic Stack is a set of tightly integrated products that are well suited to address the requirements of a DE lab. The Elastic Stack includes the following components:

  • Beats: A data shipper that is used to collect data from an endpoint and forward it to Elasticsearch or Logstash for pre-processing. Different packages exist for collecting different types of data from endpoints. While Beats is a core component of the Elastic Stack, in this book, we will use Elastic Agent to forward data from endpoints to Elasticsearch.
  • Logstash: A powerful tool for transforming data and forwarding it to different destination systems. It offers a high degree of control over re-shaping data and has plugins that support forwarding data to a significant variety of destinations.
  • Elasticsearch: This is the data storage component. While primarily designed for searching, it has evolved to become a capable data analysis engine.
  • Kibana: This is the Elasticsearch frontend...
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