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

Integrating AI into Threat Management

When we look at the challenges surrounding threat management, one that stands out is the prioritization of security alerts. In the process of threat management, we have terabytes of data being analyzed in our local environments and it creates hundreds of security alerts. It is impossible to fully understand the impact of all of these security alerts as well as to prioritize which alerts should be dealt with first in a timely manner. Statistically, it has often taken days to find out a breach has happened, and substantial additional time after that to contain it.

Per IBM’s Data Breach Report from 2022, it takes about 277 days on average to identify and stop a data breach. From a security point of view, such a delay in detection and resolution can cause irreversible damage to the organization. So, as the volumes of data and security alerts have increased, so too has the technology become more mature. The introduction of Artificial Intelligence...