Book Image

Practical Threat Intelligence and Data-Driven Threat Hunting

By : Valentina Costa-Gazcón
Book Image

Practical Threat Intelligence and Data-Driven Threat Hunting

By: Valentina Costa-Gazcón

Overview of this book

Threat hunting (TH) provides cybersecurity analysts and enterprises with the opportunity to proactively defend themselves by getting ahead of threats before they can cause major damage to their business. This book is not only an introduction for those who don’t know much about the cyber threat intelligence (CTI) and TH world, but also a guide for those with more advanced knowledge of other cybersecurity fields who are looking to implement a TH program from scratch. You will start by exploring what threat intelligence is and how it can be used to detect and prevent cyber threats. As you progress, you’ll learn how to collect data, along with understanding it by developing data models. The book will also show you how to set up an environment for TH using open source tools. Later, you will focus on how to plan a hunt with practical examples, before going on to explore the MITRE ATT&CK framework. By the end of this book, you’ll have the skills you need to be able to carry out effective hunts in your own environment.
Table of Contents (21 chapters)
1
Section 1: Cyber Threat Intelligence
5
Section 2: Understanding the Adversary
9
Section 3: Working with a Research Environment
14
Section 4: Communicating to Succeed
Appendix – The State of the Hunt

The importance of defining good metrics

At the end of the previous chapter, we introduced the concept of metrics, why they are important, and why they should be defined beforehand. Defining good metrics will help us track the success of our hunting team, restructure or rethink our processes when necessary, and also share all that information with the executives to secure the team's funding. Metrics can be a warning mechanism to detect that something is not going quite right and that we should rethink the direction we are going in, helping us make informed decisions by comparing actual results against the expected performance. This is why you should review your metrics after performing your hunts.

Let's go back to the definition of metric: A metric is the measurement of a specific attribute or behavior of interest. But, as we mentioned in the previous chapter, metrics can be qualitative or quantitative too. When talking about measures, there are two concepts taken from...