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

Introduction to performance management

We are using the term performance management in this chapter to describe the various knowledge and techniques we can use to identify how to most effectively improve the performance of our detection engineering program. In an ideal world, we’d detect all bad behavior and not flag any legitimate activity. There is, however, no magic solution that allows for that. As such, we need to know how and where our detection program and our detections are falling short.

This chapter will break down different aspects that we can assess to get a better idea of areas of improvement. We’ll be able to identify where issues exist that are causing our detection program or detection rules to underperform. With that knowledge in hand, we can slowly take steps to prioritize changes that will lead to improved performance and, over time, increase the maturity of our program.

We’ll start this chapter by giving you a way to assess the current...