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Practical Threat Detection Engineering

You're reading from   Practical Threat Detection Engineering A hands-on guide to planning, developing, and validating detection capabilities

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Product type Paperback
Published in Jul 2023
Publisher Packt
ISBN-13 9781801076715
Length 328 pages
Edition 1st Edition
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Authors (3):
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Megan Roddie Megan Roddie
Author Profile Icon Megan Roddie
Megan Roddie
Jason Deyalsingh Jason Deyalsingh
Author Profile Icon Jason Deyalsingh
Jason Deyalsingh
Gary J. Katz Gary J. Katz
Author Profile Icon Gary J. Katz
Gary J. Katz
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Toc

Table of Contents (20) Chapters Close

Preface 1. Part 1: Introduction to Detection Engineering
2. Chapter 1: Fundamentals of Detection Engineering FREE CHAPTER 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

Conventions used

There are a number of text conventions used throughout this book.

Code in text: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: “The process described on Elastic’s site involves the use of docker-compose.yaml and a .env file, which docker-compose then interprets to build the Elastic and Kibana nodes.”

A block of code is set as follows:

ES1_DATA=/path/to/large/disk/elasticdata/es01
ES2_DATA=/path/to/large/disk/elasticdata/es02
KIBANA_DATA=/path/to/large/disk/elasticdata/kibana_data

Any command-line input or output is written as follows:

$ docker --version
Docker version v20.10.12, build 20.10.12-0ubuntu4

Bold: Indicates a new term, an important word, or words that you see onscreen. For instance, words in menus or dialog boxes appear in bold. Here is an example: “At this point, you are probably wondering what type of data is being sent back to the Elasticsearch backend. You can view this data by navigating to the Discover page, under Analytics in the hamburger menu.”

Tips or important notes

Appear like this.

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