IBM QRadar SIEM Foundations

Course Overview

IBM QRadar SIEM provides deep visibility into network, user, and application activity. It provides collection, normalization, correlation, and secure storage of events, flows, asset profiles, and vulnerabilities. QRadar SIEM classifies suspected attacks and policy violations as offenses.

Who Should Attend

This course is designed for security analysts, security technical architects, offense managers, network administrators, and system administrators using QRadar SIEM.

Course Objectives

Describe how QRadar SIEM collects data to detect suspicious activities
Describe the QRadar SIEM component architecture and data flows
Navigate the user interface
Investigate suspected attacks and policy violations
Search, filter, group, and analyze security data
Investigate events and flows
Investigate asset profiles
Describe the purpose of the network hierarchy
Determine how rules test incoming data and create offenses
Use index and aggregated data management
Navigate and customize dashboards and dashboard items
Create customized reports
Use filters
Use AQL for advanced searches
Analyze a real world scenario

Course Outline

1 - Course Outline

Unit 1: Introduction to IBM QRadar
Unit 2: IBM QRadar SIEM component architecture and data flows
Unit 3: Using the QRadar SIEM User Interface
Unit 4: Investigating an Offense Triggered by Events
Unit 5: Investigating the Events of an Offense
Unit 6: Using Asset Profiles to Investigate Offenses
Unit 7: Investigating an Offense Triggered by Flows
Unit 8: Using Rules
Unit 9: Using the Network Hierarchy
Unit 10: Index and Aggregated Data Management
Unit 11: Using the QRadar SIEM Dashboard
Unit 12: Creating Reports
Unit 13: Using Filters
Unit 14: Using the Ariel Query Language (AQL) for Advanced Searches
Unit 15: Analyzing a Real-World Large-Scale Attack
Appendix A: A real-world scenario introduction to IBM QRadar SIEM
Appendix B: IBM QRadar architecture

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Class Dates & Times

Class times are listed Mountain time

This is a 3-day class

Price: $2,660.00