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Microsoft Sentinel in Action

Microsoft Sentinel in Action

By : Richard Diver, Gary Bushey
4.7 (3)
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Microsoft Sentinel in Action

Microsoft Sentinel in Action

4.7 (3)
By: Richard Diver, Gary Bushey

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)
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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

Introduction to KQL commands

Unlike SQL, the query starts with the data source, which can be either a table or an operator that produces a table, followed by commands that transform the data into what is needed. Each command's output can be passed into the next command by using the pipe ( | ) delimiter.

What does this mean? If you are familiar with SQL, you would write a statement such as Select * from table to get the values from the table. The same query in KQL would just be table, where table refers to the name of the log. It is implied that you want all the columns and rows. Later, we will discuss how to minimize what information is returned.

We will only be scratching the surface of what KQL can do here, but it will be enough to get you started writing your own queries so that you can develop queries for Microsoft Sentinel.

The following table provides an overview of the commands, functions, and operators we will be covering in the rest of this chapter:

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