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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

Overview of Azure Sentinel alerts

The key benefit of using Azure Sentinel is the centralization of logs and alerts from multiple systems across your organization. By centralizing the information, and enhancing it with threat intelligence, it is possible to build a full picture of the potential malicious activities occurring in any system.

In Chapter 7, Creating Analytic Rules, we covered the ability to create analytic rules and queries, using Kusto Query Language (KQL), to monitor and detect activities across a wide range of data sources gathered by Azure Sentinel, and generate alerts based on these detections. The rules may be created manually to detect known activities and behaviors, or they may include machine learning algorithms to enhance detection capabilities.

To prevent overloading the IT and security teams with too much irrelevant information, the alerting rules can be configured to ensure a high degree of confidence that the issue is both relevant and important. It...

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