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

Understanding the hunt results

All the exercises done so far have had an inherent unfairness to their nature: they were all made in a lab environment. The differences between hunting in a lab environment versus hunting in production are notable. Probably, the number of devices in our lab is going to be much smaller than the number of devices available in production. The same will happen with the number of users and the "noise" they generate by user interaction with the system.

This means that when testing our detections over production, we will most likely have to refine our detection queries to reduce the number of hits we get as a result. Threat hunting is not about verifying false positive results (although you will encounter those too), but about finding the false negatives. In other words, we are not trying to verify that the detected events are not malicious but rather to build detections for malicious behaviors that have surpassed our organization's detection...