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

Chapter 2

  1. The name of the query language is the Kusto query language (KQL).
  2. Azure Lighthouse enables the central management of multiple Azure tenants, usually deployed by managed service providers, but may also be used in complex environments.
  3. A few of the different layers of protection for securing data are: Microsoft-managed incident management process, data retention and deletion policies, per data source type, and data segregation and isolation, with geographic sovereignty.
  4. Log Analytics workspaces can be created via the web portal, PowerShell, and the command-line interface.
  5. Engineers should be provided with the role of Azure Sentinel Contributor and Log Analytics Reader.