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)
1
Part 1: Understanding Different QRadar Components and Architecture
5
Part 2: QRadar Features and Deployment
10
Part 3: Understanding QRadar Apps, Extensions, and Their Deployment

Understanding the UBA dashboard

The UBA app displays users and their corresponding risk scores. You can configure the type of users that you would like to monitor. It could be a group of users based on factors such as department, employees on notice period, and employees working for a specific customer across departments. The classification of users is possible when we have enough data on users. This data is usually imported when we integrate with the directory server of the organization.

Figure 8.2 – UBA dashboard

Figure 8.2 – UBA dashboard

In the preceding figure, we see that there are 68 monitored users, out of which 50 users were imported from the directory server. UBA is capable of discovering new users based on the events that it consumes. We previously discussed that the other way to add users is by importing from reference data. In Figure 8.2, however, we have not imported any users from reference data.

Along with the users, there are corresponding risk scores...