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

UBA application tuning

The UBA app, along with the ML app,needs a lot of tuning as per your environment. We have seen that the UBA application has so many configuration parameters. We have already mentioned that if you plan to use UBA, you should install App Host as UBA is a computationally heavy app. The number of resources made available to the UBA and ML apps may limit the number of users that can be monitored. If the number of users becomes high, UBA will require more computational resources, which will in turn hamper performance as the UBA app’s graphical interface can become slow or unresponsive.

Some basic tuning tips for the UBA and ML apps are as follows:

  • Import users using a directory server/LDAP/CSV file

We have seen that there are many ways in which users are added. In Figure 8.2, we saw a few users were discovered using event data such as events and flows. For most of these users, the event data has users such as admin and root that cannot be correlated...