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

Understanding data sources and telemetry

Covering all potential data sources in a corporate environment or even going into depth on each of the major ones is not feasible given the number of data sources present in an organization’s infrastructure. As such, this section will highlight the major data sources and provide a brief explanation of their relevance to detection engineering.

We are going to look at two different types of sources of data for detection engineering. The first is going to be raw telemetry. These are unprocessed logs that simply state an event occurred, without a determination on whether it is malicious or not. This is going to be our focus with detection engineering as we can use these raw events to identify malicious activity without relying on an existing security solution’s detection capabilities. The second type of data source that we’ll briefly discuss is security tooling. Data from security tooling primarily focuses on processed events...