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 Searches

If you ever take a philosophical view on the technical aspect of Security Information and Event Management (SIEM), a fleeting thought is that SIEM is nothing but a very advanced search. Everything else is built to collect data, run correlation, run analytics, and then display the search in a better way. That is kind of true.

What we have learned and discussed so far is the way QRadar is deployed, its different components, how data is ingested, and so on. Now, we will start with using the ingested data to make sense of it. QRadar search is the most fundamental feature of QRadar. In this chapter, we will discuss QRadar searches and how we can optimize them and use them to the best that they can offer.

The following topics will be covered in this chapter:

  • How do searches work?
  • QRadar services involved in searches
  • Different types of QRadar searches
  • Concept of data accumulation
  • Different ways to tune QRadar searches