Book Image

Building a Next-Gen SOC with IBM QRadar

By : Ashish M Kothekar
Book Image

Building a Next-Gen SOC with IBM QRadar

By: Ashish M Kothekar

Overview of this book

This comprehensive guide to QRadar will help you build an efficient security operations center (SOC) for threat hunting and need-to-know software updates, as well as understand compliance and reporting and how IBM QRadar stores network data in real time. The book begins with a quick introduction to QRadar components and architecture, teaching you the different ways of deploying QRadar. You’ll grasp the importance of being aware of the major and minor upgrades in software and learn how to scale, upgrade, and maintain QRadar. Once you gain a detailed understanding of QRadar and how its environment is built, the chapters will take you through the features and how they can be tailored to meet specifi c business requirements. You’ll also explore events, flows, and searches with the help of examples. As you advance, you’ll familiarize yourself with predefined QRadar applications and extensions that successfully mine data and find out how to integrate AI in threat management with confidence. Toward the end of this book, you’ll create different types of apps in QRadar, troubleshoot and maintain them, and recognize the current security challenges and address them through QRadar XDR. By the end of this book, you’ll be able to apply IBM QRadar SOC’s prescriptive practices and leverage its capabilities to build a very efficient SOC in your enterprise.
Table of Contents (18 chapters)
Part 1: Understanding Different QRadar Components and Architecture
Part 2: QRadar Features and Deployment
Part 3: Understanding QRadar Apps, Extensions, and Their Deployment

What is UBA?

Many security vendors provide similar security solutions, called User and Entity Behavior Analytics (UEBA). Other vendors, apart from IBM, have the solution as a separate product. But IBM has designed UBA to provide seamless integration with the information already available in terms of event data that we have in QRadar. The integration is tighter than the standalone UEBA solution, providing better results in a shorter period. As QRadar has also introduced App Host as a separate managed host where apps can be installed, the number of computational resources provided to UBA can be drastically increased.

UBA and ML form the backbone of QRadar when it comes to insider threats. These are security products in themselves that are seamlessly integrated into QRadar. There are other vendors that provide UBA as separate products. But adding UBA as an app in QRadar has multiple advantages, including ease of use.

The ML models used in QRadar for UBA help to drastically reduce...