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

Understanding the QRadar NTA app

We have discussed UBA and understand that it works on different kinds of events that are received in QRadar. But what about flows? Does QRadar use flows to detect anomalies in behavior? Yes, it does. And for that, we have a QRadar app called QRadar NTA. You may install this app from the IBM X-Force App Exchange portal, and it is free of charge.

After installing QRadar NTA, the app trains itself by analyzing the flows already available and creates a baseline of what kind of traffic is received. NTA uses ML algorithms to understand and generate a baseline. The following screenshot shows the configuration settings required for NTA:

Figure 8.4 – Configuration parameters for the NTA app

Figure 8.4 – Configuration parameters for the NTA app

In the preceding screenshot, we can see the authorized token that will be generated on QRadar, and then you may copy and paste it into the app.

Default timeframe is the amount of time for which the NTA app analyzes the flow data...