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Threat Hunting with Elastic Stack

You're reading from   Threat Hunting with Elastic Stack Solve complex security challenges with integrated prevention, detection, and response

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Product type Paperback
Published in Jul 2021
Publisher Packt
ISBN-13 9781801073783
Length 392 pages
Edition 1st Edition
Tools
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Author (1):
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Andrew Pease Andrew Pease
Author Profile Icon Andrew Pease
Andrew Pease
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Toc

Table of Contents (18) Chapters Close

Preface 1. Section 1: Introduction to Threat Hunting, Analytical Models, and Hunting Methodologies
2. Chapter 1: Introduction to Cyber Threat Intelligence, Analytical Models, and Frameworks FREE CHAPTER 3. Chapter 2: Hunting Concepts, Methodologies, and Techniques 4. Section 2: Leveraging the Elastic Stack for Collection and Analysis
5. Chapter 3: Introduction to the Elastic Stack 6. Chapter 4: Building Your Hunting Lab – Part 1 7. Chapter 5: Building Your Hunting Lab – Part 2 8. Chapter 6: Data Collection with Beats and Elastic Agent 9. Chapter 7: Using Kibana to Explore and Visualize Data 10. Chapter 8: The Elastic Security App 11. Section 3: Operationalizing Threat Hunting
12. Chapter 9: Using Kibana to Pivot Through Data to Find Adversaries 13. Chapter 10: Leveraging Hunting to Inform Operations 14. Chapter 11: Enriching Data to Make Intelligence 15. Chapter 12: Sharing Information and Analysis 16. Assessments 17. Other Books You May Enjoy

Chapter 11: Enriching Data to Make Intelligence

In Chapter 1, Introduction to Cyber Threat Intelligence, Analytical Models, and Frameworks, we discussed the intelligence pipeline and the process of making data into intelligence through analysis, production, context, and enrichment. Enrichment is one of the final steps in transitioning collected data into something that can be actioned for further hunting or defensive considerations by the incident response teams.

In this chapter, you will learn how to use various tools to enrich both local observations and threat information to add contextually relevant information to events in their journey to actionable intelligence.

In this chapter, we're going to cover the following main topics: 

  • Enhancing analysis with open source tools
  • Enriching events with third-party tools
  • Enrichments within Elastic
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