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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

Summary

In this chapter, we explored the Logs page of Microsoft Sentinel. We saw how to use the various sections of the page, such as the page header, the Tables pane, the Filter pane, and the code and results pages to run built-in queries and determine the way results are displayed. Besides this, we also learned how to write our own queries using KQL.

With the help of the Logs page and by writing useful queries, you are now ready to carry out your own table analysis for investigation. You can use it to your advantage for trend analysis, visualizations, and troubleshooting.

In the next chapter, you will learn how to take the queries you build in the Logs page and use them in analytics queries.

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