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Learn Azure Sentinel

Learn Azure Sentinel

By : Richard Diver, Gary Bushey
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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

Introduction to Azure Monitor Log Analytics

Azure Monitor is the name of a suite of solutions built within the Azure platform to collect logs and metrics, with that information then being used to create insights, visualizations, and automated responses. Log Analytics is one of the main services created to analyze the logs gathered. The platform supports near real-time scenarios, is automatically scaled, and is available to multiple services across Azure (including Azure Sentinel). Using a version of the Kusto Query Language (KQL), the query language used to obtain information from logs, complex information can be queried quickly and the queries are saved for future use. In this book, we will refer to this service simply as Log Analytics.

In order to create a Log Analytics workspace, you must first have an Azure subscription. Each subscription is based on a specific geographic location that ties the data storage to that region. The region selection is decided based on where you want...

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