Book Image

Microsoft Sentinel in Action - Second Edition

By : Richard Diver, Gary Bushey, John Perkins
Book Image

Microsoft Sentinel in Action - Second Edition

By: Richard Diver, Gary Bushey, John Perkins

Overview of this book

Microsoft Sentinel is a security information and event management (SIEM) tool developed by Microsoft that helps you integrate cloud security and artificial intelligence (AI). This book will teach you how to implement Microsoft Sentinel and understand how it can help detect security incidents in your environment with integrated AI, threat analysis, and built-in and community-driven logic. The first part of this book will introduce you to Microsoft Sentinel and Log Analytics, then move on to understanding data collection and management, as well as how to create effective Microsoft Sentinel queries to detect anomalous behaviors and activity patterns. The next part will focus on useful features, such as entity behavior analytics and Microsoft Sentinel playbooks, along with exploring the new bi-directional connector for ServiceNow. In the next part, you’ll be learning how to develop solutions that automate responses needed to handle security incidents and find out more about the latest developments in security, 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 Microsoft Sentinel to fit your needs and protect your environment from cyber threats and other security issues.
Table of Contents (23 chapters)
1
Section 1: Design and Implementation
4
Section 2: Data Connectors, Management, and Queries
9
Section 3: Security Threat Hunting
15
Section 4: Integration and Automation
18
Section 5: Operational Guidance

Running KQL queries

For this chapter, we will be using the sample data available in the Azure Data Explorer (ADX). 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

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 like the following:

Figure 5.2 – StormEvents...