
Practical Threat Intelligence and Data-Driven Threat Hunting
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Practical Threat Intelligence and Data-Driven Threat Hunting
By:
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)
Preface
Section 1: Cyber Threat Intelligence
Chapter 1: What Is Cyber Threat Intelligence?
Chapter 2: What Is Threat Hunting?
Chapter 3: Where Does the Data Come From?
Section 2: Understanding the Adversary
Chapter 4: Mapping the Adversary
Chapter 5: Working with Data
Chapter 6: Emulating the Adversary
Section 3: Working with a Research Environment
Chapter 7: Creating a Research Environment
Chapter 8: How to Query the Data
Chapter 9: Hunting for the Adversary
Chapter 10: Importance of Documenting and Automating the Process
Section 4: Communicating to Succeed
Chapter 11: Assessing Data Quality
Chapter 12: Understanding the Output
Chapter 13: Defining Good Metrics to Track Success
Chapter 14: Engaging the Response Team and Communicating the Result to Executives
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Appendix – The State of the Hunt
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