You're reading from Threat Hunting with Elastic Stack Solve complex security challenges with integrated prevention, detection, and response

Product type Paperback

Published in Jul 2021

Publisher Packt

ISBN-13 9781801073783

Length 392 pages

Edition 1st Edition

Tools

Kibana

Concepts

Cybersecurity

Author (1):

Andrew Pease

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Table of Contents (18) Chapters

Preface

1. Section 1: Introduction to Threat Hunting, Analytical Models, and Hunting Methodologies

2. Chapter 1: Introduction to Cyber Threat Intelligence, Analytical Models, and Frameworks FREE CHAPTER

3. Chapter 2: Hunting Concepts, Methodologies, and Techniques

4. Section 2: Leveraging the Elastic Stack for Collection and Analysis

5. Chapter 3: Introduction to the Elastic Stack

6. Chapter 4: Building Your Hunting Lab – Part 1

7. Chapter 5: Building Your Hunting Lab – Part 2

8. Chapter 6: Data Collection with Beats and Elastic Agent

9. Chapter 7: Using Kibana to Explore and Visualize Data

10. Chapter 8: The Elastic Security App

11. Section 3: Operationalizing Threat Hunting

12. Chapter 9: Using Kibana to Pivot Through Data to Find Adversaries

13. Chapter 10: Leveraging Hunting to Inform Operations

14. Chapter 11: Enriching Data to Make Intelligence

15. Chapter 12: Sharing Information and Analysis

16. Assessments

17. Other Books You May Enjoy

Summary

In this chapter, we built on the concepts of cyber threat intelligence from the previous chapter and were introduced to threat hunting. In exploring threat hunting, we discussed various models used to frustrate the adversary and interact with other analysts, operators, and infrastructure teams; data profiling exercises to understand what data you are being presented with (and maybe what data you're missing); and how the data pattern of life can be observed and managed.

Looking back at what was introduced in this chapter, there are a lot of theory, concepts, and critical thinking methodology and we have to ask why? Why are we spending so much time pontificating about models and data patterns and pipelines? It's because we're trying to make the adversary pay for every bit that they attempt to put into your network and make the adversary pay for every bit they attempt to get out. Success means that we drive the mean time to detect and mean time to respond as close...