Book Image

Practical Threat Detection Engineering

By : Megan Roddie, Jason Deyalsingh, Gary J. Katz
5 (2)
Book Image

Practical Threat Detection Engineering

5 (2)
By: Megan Roddie, Jason Deyalsingh, Gary J. Katz

Overview of this book

Threat validation is an indispensable component of every security detection program, ensuring a healthy detection pipeline. This comprehensive detection engineering guide will serve as an introduction for those who are new to detection validation, providing valuable guidelines to swiftly bring you up to speed. The book will show you how to apply the supplied frameworks to assess, test, and validate your detection program. It covers the entire life cycle of a detection, from creation to validation, with the help of real-world examples. Featuring hands-on tutorials and projects, this guide will enable you to confidently validate the detections in your security program. This book serves as your guide to building a career in detection engineering, highlighting the essential skills and knowledge vital for detection engineers in today's landscape. By the end of this book, you’ll have developed the skills necessary to test your security detection program and strengthen your organization’s security measures.
Table of Contents (20 chapters)
1
Part 1: Introduction to Detection Engineering
5
Part 2: Detection Creation
11
Part 3: Detection Validation
14
Part 4: Metrics and Management
16
Part 5: Detection Engineering as a Career

Detection Data Sources

In the previous chapter, we built out a detection engineering test lab that will be leveraged for the labs throughout the rest of this book, as well as any testing you want to perform yourself. This lab environment included the Elastic Stack, Fleet Server, and a single Windows host. In this chapter, we will discuss the different data sources that can be leveraged as part of detection engineering. Furthermore, we will provide optional labs that will allow you to expand your lab environment so that you can include some of these additional sources if you want to test them and have the resources available.

The data sources we consume for detection engineering help determine our ability to provide widespread detection coverage for an organization. Without network data, we can’t develop network-based signatures, potentially missing web-based threats or C2 communication. Without application data, we might not be able to identify malicious activity taking place...