Book Image

Threat Hunting with Elastic Stack

By : Andrew Pease
5 (1)
Book Image

Threat Hunting with Elastic Stack

5 (1)
By: Andrew Pease

Overview of this book

Threat Hunting with Elastic Stack will show you how to make the best use of Elastic Security to provide optimal protection against cyber threats. With this book, security practitioners working with Kibana will be able to put their knowledge to work and detect malicious adversary activity within their contested network. You'll take a hands-on approach to learning the implementation and methodologies that will have you up and running in no time. Starting with the foundational parts of the Elastic Stack, you'll explore analytical models and how they support security response and finally leverage Elastic technology to perform defensive cyber operations. You’ll then cover threat intelligence analytical models, threat hunting concepts and methodologies, and how to leverage them in cyber operations. After you’ve mastered the basics, you’ll apply the knowledge you've gained to build and configure your own Elastic Stack, upload data, and explore that data directly as well as by using the built-in tools in the Kibana app to hunt for nefarious activities. By the end of this book, you'll be able to build an Elastic Stack for self-training or to monitor your own network and/or assets and use Kibana to monitor and hunt for adversaries within your network.
Table of Contents (18 chapters)
Section 1: Introduction to Threat Hunting, Analytical Models, and Hunting Methodologies
Section 2: Leveraging the Elastic Stack for Collection and Analysis
Section 3: Operationalizing Threat Hunting


We built on the hunting lab that you created in the previous chapter in preparation for wading into learning how to perform searches and create visualizations and dashboards in Kibana.

In this chapter, you learned how to configure the collection agents and tools you installed in Chapter 4, Building Your Hunting Lab – Part 1 and Chapter 5, Building Your Hunting Lab – Part 2. Additionally, we covered the configuration of Fleet used to manage Elastic Agent. This knowledge will help you not only maintain and adapt your collection policies going forward in your lab, but also in production environments.

In the next chapter, we'll be learning how to use the Kibana Query Language (KQL) and the Event Query Language (EQL) to perform focused searches on our data.