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Learn Azure Sentinel

Learn Azure Sentinel

By : Richard Diver, Gary Bushey
5 (3)
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Learn Azure Sentinel

Learn Azure Sentinel

5 (3)
By: Richard Diver, Gary Bushey

Overview of this book

Azure Sentinel is a Security Information and Event Management (SIEM) tool developed by Microsoft to integrate cloud security and artificial intelligence (AI). Azure Sentinel not only helps clients identify security issues in their environment, but also uses automation to help resolve these issues. With this book, you’ll implement Azure Sentinel and understand how it can help find security incidents in your environment with integrated artificial intelligence, threat analysis, and built-in and community-driven logic. This book starts with an introduction to Azure Sentinel and Log Analytics. You’ll get to grips with data collection and management, before learning how to create effective Azure Sentinel queries to detect anomalous behaviors and patterns of activity. As you make progress, you’ll understand how to develop solutions that automate the responses required to handle security incidents. Finally, you’ll grasp the latest developments in security, discover techniques to enhance your cloud security architecture, and explore how you can contribute to the security community. By the end of this book, you’ll have learned how to implement Azure Sentinel to fit your needs and be able to protect your environment from cyber threats and other security issues.
Table of Contents (22 chapters)
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1
Section 1: Design and Implementation
4
Section 2: Data Connectors, Management, and Queries
9
Section 3: Security Threat Hunting
14
Section 4: Integration and Automation
17
Section 5: Operational Guidance

Running KQL queries

For the purpose of this chapter, we will be using the sample data available in Azure Data Explorer (ADE). This is a very useful tool for trying simple KQL commands. Feel free to use it to try the various commands in this chapter. All the information used in the queries comes from the sample data provided at https://dataexplorer.azure.com/clusters/help/databases/Samples.

If prompted, use the login credentials you would use to log in to the Azure portal. When you log in for the first time, you will see the following screen. Note that your login name may show up on the right-hand side of the header:

Figure 5.1 – Azure Data Explorer

In order to run the samples for this chapter, you will need to expand the Samples logs on the left-hand side of the screen and then select StormEvents. You can expand StormEvents to see a listing of fields if you want to. If you do so, your screen should look similar to the following:

...

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