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

QRadar Advisor with Watson

QRAW is based on Watson’s cognitive intelligence. IBM Watson uses information from varied sources, breaks it into data points, and then uses the security domain knowledge to stitch together all the data points related to a certain parameter. For example, let’s say there is a known hash value for a certain malware, and that hash value is present in the event details in QRadar. IBM Watson uses this information to create graphs and correlations to explain which assets are affected by malware, how this malware entered the organization, how it proliferates or moves laterally, and so on. It also shows the assets and users involved. This kind of detailed analysis is done by QRAW in a matter of minutes. It would have taken SOC analysts weeks or months to get all this information.

QRAW uses Watson’s cognitive intelligence. Let us look at how QRAW works with QRadar with the help of the following flow chart:

Figure 9.1 – Internal workings of QRAW