Book Image

Microsoft Sentinel in Action - Second Edition

By : Richard Diver, Gary Bushey, John Perkins
Book Image

Microsoft Sentinel in Action - Second Edition

By: Richard Diver, Gary Bushey, John Perkins

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)
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

An introduction to Microsoft Sentinel Analytics

Microsoft Sentinel Analytics is where you set up rules to find potential issues with your environment. You can create various types of rules, each with their own configuration steps and unique options for the types of abnormalities you are trying to detect.

Types of analytic rules

There are currently five types of rules: scheduled, Microsoft Security, machine learning, Fusion, and anomaly. Each type of rule fills a specific niche. Let's explore each of these in turn.

Scheduled

As the name suggests, these rules run on a set schedule to detect suspicious events. For instance, you can have a rule run every few minutes, every hour, every day, or at another interval. The queries for these rules will use KQL to define what they are trying to find. These rules will make up a large proportion of your analytic rules and, if you have used other Security Information and Event Management (SIEM) systems, these are probably the ones...