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

Testing yourself

This section is meant to be a little test for Chapter 10, Importance of Documenting and Automating the Process, Chapter 11, Assessing Data Quality, and Chapter 12, Understanding the Output, as well as this one.

Try to answer the following questions to see how much of what you have been reading you have understood:

  1. Keeping a good documentation process helps with what?

    A) Preventing knowledge hoarding and forgetting what processes you implemented a long time ago.

    B) New hires and communication with C-level.

    C) Avoiding hunting repetition.

    D) All of the above.

  2. 5W1H stands for what?

    A) What caused? What for? Where to start? Where to finish? When? How?

    B) What? Who? Where? When? Why? How?

    C) What? Who? Whom? Where? When? How?

  3. When talking about threat hunting automation, we distinguish at least what?

    A) 5 axes: Data collection, attribute or factor identification, data enrichment, hunting quantification, and successful hunts

    B) 4 axes: Data collection, event analysis...