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Microsoft Sentinel in Action

Microsoft Sentinel in Action

By : Richard Diver, Gary Bushey
4.7 (3)
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Microsoft Sentinel in Action

Microsoft Sentinel in Action

4.7 (3)
By: Richard Diver, Gary Bushey

Overview of this book

Microsoft Sentinel is a security information and event management (SIEM) tool developed by Microsoft that helps you integrate cloud security and artificial intelligence (AI). This book will teach you how to implement Microsoft Sentinel and understand how it can help detect security incidents in your environment with integrated AI, threat analysis, and built-in and community-driven logic. The first part of this book will introduce you to Microsoft Sentinel and Log Analytics, then move on to understanding data collection and management, as well as how to create effective Microsoft Sentinel queries to detect anomalous behaviors and activity patterns. The next part will focus on useful features, such as entity behavior analytics and Microsoft Sentinel playbooks, along with exploring the new bi-directional connector for ServiceNow. In the next part, you’ll be learning how to develop solutions that automate responses needed to handle security incidents and find out more about the latest developments in security, 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 Microsoft Sentinel to fit your needs and protect your environment from cyber threats and other security issues.
Table of Contents (23 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
15
Section 4: Integration and Automation
18
Section 5: Operational Guidance

Working with livestream

Livestream is a new feature for Microsoft Sentinel that will allow you to watch one or more hunting queries in real time, to see new results as they occur. This can be useful when performing an investigation and watching whether a query has any new results without having to constantly rerun the query.

Looking back at Figure 11.8, the last entry in the context menu is called Add to livestream. Selecting this will add the query to the Livestream window, as follows:

Figure 11.9 – Adding a query to Livestream

For each livestream that has been added, you can see its status, the query name, how long it has been running, how many results have been found, what the last result was, the time that the last result occurred, and a sparkline showing how many results were found along the timeline (not shown).

Clicking on each livestream will show the details pane where you get information about the query, including the full KQL code and...

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