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Practical Threat Detection Engineering

Practical Threat Detection Engineering

By : Megan Roddie, Jason Deyalsingh, Gary J. Katz
4.7 (21)
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Practical Threat Detection Engineering

Practical Threat Detection Engineering

4.7 (21)
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)
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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

Phase 3 – Investigate

The Investigate phase has multiple goals, but fundamentally, it needs to prepare a detection requirement for development by converting the detection requirements into more technical ones. Executing this process can identify deficiencies in intelligence or data collection, which will need to be resolved before development can start. The following are the inputs and outputs associated with this phase:

  • Input: Triaged detection requirement
  • Output: Detection of technical specifications and data engineering requirements (if applicable)

The Investigate phase can be broken into four steps:

  1. Identify the data source
  2. Determine detection indicator types
  3. Research
  4. Establish validation criteria

Let’s take a look.

Identify the data source

During this step, you must identify the relevant data sources needed to satisfy the detection requirement. Analysts will need to understand the intent and scope of the detection...

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