Book Image

Learn Azure Sentinel

By : Richard Diver, Gary Bushey
Book Image

Learn Azure Sentinel

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)
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

Summary

In this chapter, we explored the Logs page of Azure Sentinel. We saw how to use the various sections of the page, such as the page header, the Tables pane, the Filter pane, and the code and results pages to run built-in queries and determine the way results are displayed. Besides this, we also learned how to write our own queries using KQL.

With the help of the Logs page and by writing useful queries, you are now ready to carry out your own log analysis for investigation. You can use it to your advantage for trend analysis, visualizations, and troubleshooting.

In the next chapter, you will learn how to take the queries you build in the Logs page and use them in analytics queries.