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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

Using Azure 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 Jupyter Notebooks, hosted in the Azure Notebooks service, to perform additional work. Jupyter Notebooks combine text with code and outputs to provide an overall view of your threat- hunting activities. The code can be written in Python, F#, and other languages, so threat hunters can work with a language they are most likely already familiar with.

Note

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

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

Figure 10.19 – Notebooks page overview

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

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