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)
Section 1: Cyber Threat Intelligence
Section 2: Understanding the Adversary
Section 3: Working with a Research Environment
Section 4: Communicating to Succeed
Appendix – The State of the Hunt

The threat hunting process

There are several Security Information and Event Management (SIEM) solutions to choose from, and several articles have been written about how they work and how you can choose the one that suits your organization's needs. Later in this book, we are going to use some open source solutions that have been developed using the Elastic SIEM. You should use this type of solution to centralize all the logs that have been collected from your systems to help you analyze the data. It is important to ensure the quality of the data that's collected is good. Low-quality data rarely leads to successful hunts.

Another good starting point is to search for published hunting procedures that you could incorporate into your own processes. You can also create new hunting procedures while keeping the needs and concerns of your organization in mind. For example, you can create hunting processes that focus on specific threat actors that have interest in your organization...