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

Summary

This chapter provided metrics for calculating both the efficiency and effectiveness of an organization. We started by reviewing a CMMI model to track the maturity of our organization and then identified agile process metrics to track the efficiency of the organization. MTTD was introduced as a common organization-wide effectiveness metric. Some limitations of MTTD were identified, which should be understood when using this metric. Next, we categorized our detections into three tiers, allowing us to identify metrics for each tier that reflect their importance to the organization. Low-fidelity coverage using the MITRE ATT&CK matrix and high-fidelity coverage metrics through validation, detection drift, and volatility were examined as ways to calculate coverage and track how coverage changes over time. In the final chapter, Chapter 12, we’ll wrap up by discussing what a career in detection engineering looks like, how you can progress your skill set, and the future of...