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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
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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

Questions

As we conclude, here is a list of questions for you to test your knowledge regarding this chapter's material. You will find the answers in the Assessments section of the Appendix:

  1. The Elastic Common Schema is used to do what?

    a. Provide a uniform way to describe data.

    b. Automatically convert data into a different format.

    c. Automatically share data with peers.

    d. Create generic data.

  2. What is not an example of a saved object in Kibana?

    a. Saved searches

    b. Dashboards

    c. Indexed data

    d. Visualizations

  3. Exporting ECS-compliant objects allows you to do what?

    a. Back up indexed data.

    b. Share the objects with peers or partners.

    c. Convert visualizations into dashboards.

    d. Repair corrupted data.

  4. What is not a filter that can be applied when viewing saved objects in Kibana?

    a. Tags

    b. Visualizations

    c. Dashboards

    d. Rules

  5. True or false? You can import and export detection logic from the Detection Engine.

    a. True

    b. False

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