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Microsoft Sentinel in Action

You're reading from   Microsoft Sentinel in Action Architect, design, implement, and operate Microsoft Sentinel as the core of your security solutions

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Product type Paperback
Published in Feb 2022
Publisher Packt
ISBN-13 9781801815536
Length 478 pages
Edition 2nd Edition
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Authors (2):
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Richard Diver Richard Diver
Author Profile Icon Richard Diver
Richard Diver
Gary Bushey Gary Bushey
Author Profile Icon Gary Bushey
Gary Bushey
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Toc

Table of Contents (23) Chapters Close

Preface 1. Section 1: Design and Implementation
2. Chapter 1: Getting Started with Microsoft Sentinel FREE CHAPTER 3. Chapter 2: Azure Monitor – Introduction to Log Analytics 4. Section 2: Data Connectors, Management, and Queries
5. Chapter 3: Managing and Collecting Data 6. Chapter 4: Integrating Threat Intelligence with Microsoft Sentinel 7. Chapter 5: Using the Kusto Query Language (KQL) 8. Chapter 6: Microsoft Sentinel Logs and Writing Queries 9. Section 3: Security Threat Hunting
10. Chapter 7: Creating Analytic Rules 11. Chapter 8: Creating and Using Workbooks 12. Chapter 9: Incident Management 13. Chapter 10: Configuring and Using Entity Behavior 14. Chapter 11: Threat Hunting in Microsoft Sentinel 15. Section 4: Integration and Automation
16. Chapter 12: Creating Playbooks and Automation 17. Chapter 13: ServiceNow Integration for Alert and Case Management 18. Section 5: Operational Guidance
19. Chapter 14: Operational Tasks for Microsoft Sentinel 20. Chapter 15: Constant Learning and Community Contribution 21. Assessments 22. Other Books You May Enjoy

Chapter 5: Using the Kusto Query Language (KQL)

The Kusto Query Language (KQL) is a plain-text, read-only language that is used to query data stored in Azure Log Analytics workspaces. Much like SQL, it utilizes a hierarchy of entities that starts with databases, then tables, and finally columns. In this chapter, we will only concern ourselves with the table and column levels.

In this chapter, you will learn about a few of the many KQL commands that you can use to query your logs.

In this chapter, you will learn the following:

  • How to test your KQL queries
  • How to query a table
  • How to limit how many rows are returned
  • How to limit how many columns are returned
  • How to perform a query across multiple tables
  • How to graphically view the results

The chapter covers the following main topics:

  • Running KQL queries
  • Introduction to KQL commands
  • Query statements
  • Scalar functions
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