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

Using Microsoft Sentinel notebooks

Sometimes, just using KQL queries against logs does not give enough information to assist with properly performing hunting activities. In cases such as this, you can use the Jupyter notebook, hosted in the Microsoft Azure Machine Learning (AML) service, to perform additional work. The Jupyter Notebook combines text with code to provide an overall view of your threat-hunting activities. The code can be written in Python, PowerShell, and other languages, so threat hunters can work with a language they are most likely already familiar with.

Important Note

The full scope of the Jupyter Notebook is beyond the scope of this book. For more information, go to https://jupyter.org/.

Click on Notebooks in the Microsoft Sentinel navigation area to go to the Notebooks page, which will look like the following screenshot:

Figure 11.20 – Notebooks page overview

Each of the areas on this page is described in more detail in...