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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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Section 1: Design and Implementation
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Section 2: Data Connectors, Management, and Queries
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Chapter 5: Using the Kusto Query Language (KQL)
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Section 3: Security Threat Hunting
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Section 4: Integration and Automation
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Section 5: Operational Guidance
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Chapter 13: Operational Tasks for Azure Sentinel
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Chapter 3: Managing and Collecting Data

One of the primary purposes of a Security Information and Event Management (SIEM) solution is to centralize the storage and analysis of security events across a diverse range of products that provide protection across your organization's IT infrastructure. To do this, the solution needs to connect to those data sources, pull the data into a central store, and manage the life cycle of that data to ensure it is available for analysis and ongoing investigations.

In this chapter, we will review the types of data that are most interesting and useful for security operations, and then explore the functionality available to connect to multiple data sources and ingest that data into Azure Sentinel by storing it in the Log Analytics workspace. Once the data is ingested, we need to ensure the appropriate configuration for data retention to maximize the ability to hunt for events and other security information, while also ensuring the cost of the...

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