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


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...