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Learn Azure Sentinel

You're reading from   Learn Azure Sentinel Integrate Azure security with artificial intelligence to build secure cloud systems

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Product type Paperback
Published in Apr 2020
Publisher Packt
ISBN-13 9781838980924
Length 422 pages
Edition 1st Edition
Tools
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Authors (2):
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Gary Bushey Gary Bushey
Author Profile Icon Gary Bushey
Gary Bushey
Richard Diver Richard Diver
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Richard Diver
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Table of Contents (22) Chapters Close

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

Private infrastructure integrations

The primary method of integration with your private infrastructure (such as an on-premises data center) is the deployment of Syslog servers as data collectors. While endpoints can be configured to send their data to Azure Sentinel directly, you will likely want to centralize the management of this data flow. The key consideration for this deployment is the management of log data volume; if you are generating a large volume of data for security analytics, you will need to transmit that data over your internet connections (or private connections such as Express Route).

The data collectors can be configured to reduce the load by filtering the data, but a balance must be found between the volume and velocity of data collected in order to have sufficient available bandwidth to send the data to Azure Sentinel. Investment in increased bandwidth should be considered to ensure adequate capacity based on your specific needs.

A second method of integration...

You have been reading a chapter from
Learn Azure Sentinel
Published in: Apr 2020
Publisher: Packt
ISBN-13: 9781838980924
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