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

Choosing data that matters

Quality data management is critical to the success of big data analytics, which is the core basis of how a SIEM solution works. Gathering data for analysis is required in order to find security threats and unusual behavior across a vast array of infrastructure and applications. However, there needs to be a balance between capturing every possible event from all available logs and not having enough data to really find the correlating activities. Too much data will increase the signal noise associated with alert fatigue and will increase the cost of the security solution to store and analyze the information, which, in this case, is Azure Log Analytics and Azure Sentinel, but it also applies to other SIEM solutions.

One of the recent shifts in the security data landscape is the introduction of multiple platforms that carry out log analysis locally and only forward relevant events on to the SIEM solution. Instead of duplicating the logs, hoping to fish relevant...