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

Setting up QRadar UBA

As we know why we need UBA in our environment, let us look at the steps that need to be taken to set up UBA. The first step would be to install UBA. It is important to know the computational resource requirements of UBA. UBA, when installed with ML, needs a lot more resources than when deployed without ML model, and hence you should always use QRadar App Host.

In the official docs, there's more information on how to install the Machine Learning Analytics app:

Once installed, we will need to import user information into UBA. Both topics, installing UBA and importing user information, are discussed in detail next.

Installing QRadar UBA

QRadar UBA, as mentioned earlier, is a QRadar app. The app is available from the QRadar App Exchange portal, which is publicly available at The UBA app is available as a ZIP file that can be downloaded...