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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

Connecting your first data source

Before we dig into the details of the Microsoft Sentinel data connectors (see Chapter 3, Managing and Collecting Data), we will review how Log Analytics enables connectivity to a range of different sources to receive data to store and analyze. Some of the data source options include the following:

  • Application and OS diagnostics
  • Virtual machine log data
  • Azure storage account logs
  • Azure Activity log
  • Other Azure resources

In this section, we will show you how you can enable log collection from Azure virtual machines.

Obtaining information from Azure virtual machines

To have the virtual machines (VMs) populate a Log Analytics workspace, they need to be connected to it. This is done from the Log Analytics workspace Overview page.

There are two different ways to get to this page. First, you can select Log Analytics in the Azure portal navigation menu and then select the appropriate workspace. The second, and perhaps...

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