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Practical Threat Intelligence and Data-Driven Threat Hunting

Practical Threat Intelligence and Data-Driven Threat Hunting

By : Valentina Costa-Gazcón
4.5 (21)
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Practical Threat Intelligence and Data-Driven Threat Hunting

Practical Threat Intelligence and Data-Driven Threat Hunting

4.5 (21)
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)
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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

Building a hypothesis

Throughout this chapter, it has been stated that one of the main characteristics of threat hunting is that it is a human-driven activity and that it cannot be fully automated. At the core of this process is generating the hunt's hypothesis, which refers to the threats to the organization's environment that are in line with the threat hunter's hunches and how to detect them. Hypotheses are partially based on observation, where we notice deviations from the baseline, and partially on information, which could come from experience or from other sources.

Crafting the hypothesis is crucial to producing good hunts. A poorly defined hypothesis will lead to wrong results or conclusions. This will most likely have a negative impact on the organization since defense and visualization gaps are going to be missed and provide a safe passage to the adversary. Having a lack of adequate visualization is an organization's worst enemy, since it generates a...

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