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

Phase 4 – Develop

The goal of this phase is to take technical specifications from the Investigate phase, then design, develop, and test a technical implementation for the relevant detection. The following are the inputs and outputs associated with this phase:

  • Input: Detection of technical specifications
  • Output: Detection code

As with most development work, this step requires rigorous planning. New detections need to not only satisfy the requirements but must also integrate with the rest of the detections within the environment. Detections are often implemented in the form of a query that is run against a data source or multiple data sources. Depending on your environment and its capabilities, different languages may need to interact with different data sources, and data pipelines and intermediary data stores may need to be built. The development process develops and implements a suitable solution for each new detection requirement, keeping both short- and...