In this video series, you learn how QRadar can map your network flows to applications using different techniques. 

In part 1, we configure QRadar to assign an application name to flow records when a specific source IP address and port combination is detected. In parts 2 and 3, we configure QRadar to assign an application name to flow records based on various information found in the payload of the flow data.

Using a particular use case, this video demonstrates how to take advantage of reference data collections in QRadar SIEM.

IBM QRadar uses the network hierarchy objects and groups to organize network activity and monitor groups or services in your network.

When you develop your network hierarchy, consider the most effective method for viewing network activity. The network hierarchy does not need to resemble the physical deployment of your network. QRadar supports any network hierarchy that can be defined by a range of IP addresses. You can base your network on many different variables, including geographical or business units.

In this course, you learn about the following Network Hierarchy fundamentals:

• Part 1 - Network Hierarchy Basics 
• Part 2 - Structuring your Network Hierarchy
• Part 3 - Keeping the Network Hierarchy Updated

Reference data collections can be used to store and manage important data that you want to correlate against the events and flows in your QRadar environment. You can add business data or data from external sources into a reference data collection, and then use the data in searches, filters, rule test conditions, and rule responses.

In this course, you first get an overview of the different reference data types and what they can be used for. Next, you learn how to manage reference data collections and how to use them.

This 2-part video course explores the following topics:

Part 1: QRadar reference data types overview

• General purpose of reference data collections 
  
• Reference set
• Reference map
• Reference map of sets
• Reference map of maps
• Reference table

• Using the QRadar UI 
  
• Using the CLI
• Using the RESTful API
• Reference data in queries (AQL)
• Reference data in Rules (test conditions, rule responses)

In this video, you learn about log source parsing order and how to manage it. See how to solve parsing problems by changing the log source parsing order and how to reduce parsing problems.

This hands-on lab is intended to review the configuration of a security profile, a user role, and a user account so that you can understand how these concepts are related to each other and how they can provide you with granular control of a user's access to information in your Console.

This course focuses on two conceptual log source components. Protocols, which ingest event data into the QRadar ecosystem, and Device Support Modules, which act on this ingested data. You will learn about the roles of these components, and how they are aligned in the event pipeline.

In this video, you learn how coalescing works in IBM QRadar. 

To properly understand and use the capabilities of QRadar SIEM beyond the basic concepts, it is important to learn about assets. In this course, you learn how assets can be discovered and then dynamically updated by QRadar, including network information, running applications and services, active users, and vulnerabilities.

In this QRadar WinCollect Troubleshooting Open Mic video, you will learn about the following topics:

• About WinCollect
  
• Managed vs standalone deployment
• Troubleshooting tuning issues 
• Error messages 
• General WinCollect troubleshooting 
• Troubleshooting with IBM Support 
• Q&A

WinCollect is a syslog event forwarder that collects Windows-based events from local and remote Windows-based systems and sends them to QRadar for processing and storage. In this video you learn about the two different WinCollect deployment models and how to manage them.

Using the table of contents menu in the video you can navigate to each one of these topics individually, or you can explore the content altogether:

• WinCollect overview
• WinCollect deployment models
• Installing and configuring a managed deployment
• Generating an authentication token
• WinCollect agent GUI installation
• WinCollect agent command line installation
• Upgrading all WinCollect agents to V7.2.8
• Troubleshooting a faulty WinCollect installation

In this video, you learn how to set up and use the IBM Disconnected Log Collector (DLC), which is a free-of-charge event collector that can work independently of QRadar.

This IBM Support Open Mic video covers topics around QRadar software updates and a best practice admin checklist.

• Before you begin 
• Patch and upgrade checklist 
• Firmware 
• Troubleshooting
  
• Reference
  

The capacity of a deployment is measured by the number of events per second (EPS) and flows per minute (FPM) that IBM QRadar can collect, normalize, and correlate in real time. The event and flow capacity is set by the licenses that are uploaded to the system. In this video, you learn about the features of managing the license event and flow capacity.

• Define functions of event and flow processing capacity, such as shared license pool, capacity sizing, and internal events
• Define burst handling

Managing log sources is one of the everyday challenges in QRadar administration, which can be quite time-consuming. The Log Source Management App can help facilitate these tasks more efficiently. This video course shows the features of version 3.0 of this app.

The course objectives are: 

• Searching, filtering, and sorting capabilities
• Bulk editing
• Bulk deleting
• Adding new log sources using csv-file upload

In this video, you learn how to create building blocks and how they differ from QRadar custom rules. You will be able to leverage building blocks for their typical purposes of reducing complexity and resource consumption, facilitating reuse of functionality and information, as well as reflecting your organization's IT environment.

Similar to the if-then statement in programming languages, custom rules consist of a boolean operation and statements. If the QRadar custom rule engine (CRE) evaluates the boolean operation to true, then the CRE performs the configured rule actions and rule responses. 

This course addresses the following rule actions: 

• Changing severity, credibility and relevance of the event or flow 
• Adding the event or flow to an offense 
• Annotating the event or flow 
• Dropping the event or flow by rule action and routing rule

Threat Simulator is part of the QRadar Experience Center App. It contains five use cases for common threats, and for each of them, it generates a set of pre-defined logs in real time. These logs are displayed on the Log Activity tab of the Console as they are being received so that you can learn how to analyze them.

In this course, you learn how to run and analyze the results of each use case in the Threat Simulator.

Custom log sources enable QRadar SIEM to normalize events from raw logs that have been received from various source types. These events must be parsed, normalized, and correlated into offenses to alert you to suspicious activities. Based on a business scenario, you will learn how to perform each step in the process of creating custom log sources.

QRadar collects network activity information, or what is referred to as "flow records".  Flows represent network activity by normalizing IP addresses, ports, byte and packet counts, as well as other details, into "flows", which effectively represent a session between two hosts. QRadar can collect different types of flows, which differ greatly in the collected details. In this video series, we explain and demonstrate the differences between the following network flow capture mechanisms:

• Cisco Netflow
• QRadar QFlow
• QRadar Network Insights (QNI)
  

With indicators of compromise or concern, you specify which activities you consider suspicious. Derive indicators from threat modeling while considering which kind of data QRadar SIEM can use to test for indicators. This course addresses the following topics:

• Getting started with threat modeling
  
• Using observables for indicators
  
• Using context for indicators
  
• Using external data for indicators 

In this QRadar Open Mic, members of the IBM QRadar Support and Development teams discuss and demonstrate the following QRadar Apps:

• Pulse App
• QRadar DNS Analyzer
• Log Source Management App
• QRadar Assistant App
  

This Open Mic has been recorded on Tuesday, 28 August 2018.

The Log Event Extended Format (LEEF) is a customized event format for IBM QRadar that contains readable and easily processed events for QRadar.  In this video, you learn what LEEF is, what its main components are, how to customize it, and finally, you see an example of what a LEEF event looks like in your QRadar Console.

IBM QRadar needs to provide precise information about captured log events and network flows that have been collected within your network. It can only do that sufficiently after you provided enough contextual information about your network hierarchy and assets. 

This video series describes how to properly tune the following networking aspects:

• Introduction to QRadar and Tuning
  
• Domain Management
  
• Network Hierarchy Basics
  
• Structuring your Network Hierarchy
  
• Keeping the Network Hierarchy Updated
  

This course teaches you how to configure a QRadar Retention Bucket within QRadar Administration. First, you learn about QRadar data retention and how to retain event and flow data in IBM QRadar. Then, you run an interactive simulation to configure QRadar Retention Buckets.  

License keys entitle you to specific IBM QRadar products, and control the event and flow capacity for your QRadar deployment. You can add licenses to your deployment to activate other QRadar products, such as QRadar Vulnerability and Risk Manager. After you apply the license keys to QRadar, redistribute the EPS and FPM rates to ensure that each of the managed hosts is allocated enough capacity to handle the average volume of network traffic.

In this video, you learn about the features of managing licenses in QRadar SIEM.

Rules can use threat intelligence data from sources outside your organization to test for known threats. Learn about the options to leverage threat intelligence data and make an informed decision on how to get started. This course addresses the following topics:

• Describe how threat intelligence data fits into the bigger picture
  
• Use external data
  
• Use built-in Remote Networks
  
• Use X-Force threat intelligence feeds
  

This video series describes how to properly tune the following aspects:

• Server Discovery and Host Definition
  
• The Basics of Rules and Building Blocks
  
• Content Packs and the QRadar Assistant App
  
• SIEM Tuning Report
  
• False Positive Tuning
  

For QRadar SIEM 7.3.2, an App Host can take over the running of apps. The App Host replaces the App Node that was available in previous versions of QRadar SIEM. Migrating from App Node to App Host is a part of the upgrade from QRadar 7.3.0 or 7.3.1 to QRadar 7.3.2. If you are running App Node, you must perform the migration because App Node is not supported on QRadar 7.3.2 and later.

The first part of this course walks you through the steps to upgrade and migrate from an App Node to an App Host.

In the second part, Jose Bravo performs an actual migration on a test system.

QRadar Deployment Intelligence is a monitoring application built to give users a birds-eye-view of the health of their QRadar deployment. The app consolidates the following historical data points on a per-host basis: 

• Status
• Up-time
• Notifications
• Event and flow rates
• System performance metrics
• QRadar specific metrics and more

In this course, you learn how to use the interactive app, by first displaying initial overviews for all hosts, and then drilling down and investigating specific hosts to see detailed health and status information.

You can back up and recover IBM QRadar configuration information as well as event and flow data by using the backup and recovery feature. However, you must restore event and flow data manually. There are two types of backups: configuration backups and data backups.

Objectives

• View backup archives
• Create an on-demand configuration backup archive
• Delete a backup archive
• Schedule nightly backup
• Import a backup archive

Stateful tests in rules, which are configured as local, are evaluated by the CRE instance that receives the events and flows. Stateful tests in rules, which are configured as global, are evaluated by the CRE instance on the Console. In this course you learn about both of these options, which allows you to make an informed decision on whether to configure a rule as local or global. This course addresses the following topics:

• Configuring rules as local or global
• Examining the effects on rules with only stateful tests
• Examining the effects on rules with only stateless tests
• Examining the effects on rules with both stateful and stateless tests
• Examining the effects on rule responses
• Considering pros and cons
  

In this video, a panel of IBM QRadar experts talk about tuning QRadar, focusing on the following:

• Network hierarchy
  
• Host definition building blocks and reference data
  
• Server discovery
  
• QRadar content extensions
  
• Tuning methodology
  
• False positive rules
  

QRadar administration encompasses many different tasks. The installation and upgrade management course provides information about the following topics:

• QRadar Installations and Upgrades - Best Practices Open Mic (2014)
  
• Replacing a QRadar Console in your deployment
• Replacing a Managed Host in your deployment (non-HA)
  
• Installing a QRadar content pack from IBM Fix Central
  
• Performing a QRadar v7.3 software installation on your own appliance
  
• Performing a clean install of QRadar v7.3
  
• Upgrading to QRadar v7.3
  
• Upgrading QRadar Appliances in parallel
  
• Migrating a console to a new QRadar appliance with the same IP address
  
• YUM vs RPM Installation commands in QRadar
• How to mount an ISO image using IMM
  

Jonathan Pechta and Chris Fraser from QRadar Technical Support deliver this Open Mic LIVE at the 2018 Think conference that focuses on discussing the new features available in QRadar 7.3.1.

In this set of videos, we introduce the powerful capabilities of IBM QRadar SIEM.

• The first video depicts how data is ingested into the QRadar environment by collecting log information, network flow data, and vulnerability information. You learn about the asset model, and how the QRadar rules are used to create actionable offenses. In addition, the video explains the integration with IBM BigFix, as well as QRadar Risk and Vulnerability Manager.
• The second video starts off by explaining the concepts of QRadar Reference Sets and how to use them. It then takes a look at the forensic capabilities, and briefly introduces the deployment architecture.
• The third video focuses on integration capabilities between QRadar and IBM BigFix, IBM Guardium, network intrusion prevention systems, IBM Trusteer, IBM Identity Manager, and IBM mainframe SMF records,
• After a brief recap of the QRadar fundamentals, the fourth video explains many of the new capabilities that have been recently added to QRadar. These include the new appliances QRadar Network Insights, the Data Node, and the App Node. It then provides an overview of the QRadar API and the App Exchange, and takes a closer look at some of the available app extensions, including the BigFix App, User Behavior Analytics, Sysmon integration, and the QRadar Advisor with Watson. Finally, it introduces the new DSM Editor.
• Collecting and investigating network flows is one of the outstanding QRadar capabilities. The final video explains how QRadar approaches network flows, and how the security analysts benefit from this in their daily investigations.

•     Defining rules
•     Introducing the QRadar rules engines
•     Enabling rules
•     Duplicating rules
•     Editing rules
•     Creating rules
•     Navigating rule groups

Understanding the architecture of the IBM QRadar ecosystem is viable for everyone in IT Security who is concerned with solutions within the security immune system. By learning how the central Security Intelligence components are designed to take in and process log events and flow data, you will be better equipped to holistically work as a Security Analyst with IBM QRadar. This course includes three videos:

1. QRadar functional architecture and deployment models
   
2. QRadar SIEM component architecture
   
3. Dissecting the flow of a captured event
   

In this video, Adam Frank and Robert McGinley from the QRadar team deliver the Open Mic LIVE at the 2018 Think conference, which focuses on sizing and scoping your QRadar SIEM deployment.

An offense represents a security incident related to a suspicious attack or policy violation. As event and flow data passes through QRadar SIEM, it tests different conditions to generate an offense if such tests results are positive.

In this 2-part video course you learn about investigating offenses that are based on either events or flows.

QRadar administration encompasses many different tasks. The high availability course provides information about the following topics:

• Adding and removing an HA host
• Setting an HA host back online
  

This Open Mic video first explains the different cloud deployment architecture models for IBM QRadar and then spends some time to discuss the installation procedures for various cloud offerings. Take a look at the overall agenda:

• Third Party Cloud Vendors
  
• AWS Deployment Architecture Examples
  
• Azure Deployment Architecture Examples
  
• Installing QRadar in AWS Today
  
• Installing QRadar CE in AWS
  
• Installing QRadar in AWS (Soon)
  
• Instance Log Ingestion from Auto-Scaling Groups
  
• Resources
  

Determining the rules that triggered can provide valuable insight into your IT environment and guide you for further rule development and improvement. In this course, you learn how to gain different perspectives on matching rules. 

• Sorting rules by their contributions to offenses
• Grouping dispatched events by event name
• Grouping events by rules that triggered for them
• Grouping flows by rules that triggered for them
• Filtering by rules that triggered

This course provides general tips on log source configuration. Learn how to gather information about DSMs. Understand the capabilities of the QRadar UI to configure log sources. See what else can help you do this task and get linked to it.

You can enhance the Windows log collection capability by using a publicly available tool called System Monitor (Sysmon). In combination with QRadar SIEM you can now process much more detailed events to protect your deployment from malicious attacks.

• Sysmon Introduction 
  
• Use Case 1 - Malicious File Injection and Execution 
  
• Use Case 2 - In memory attack 
  
• Use Case 3 - Base64 encoded data obfuscation 
  
• Use Case 4 - Hiding behind a common Windows service process 
  
• Use Case 5 - Malicious file injection using encrypted HTTPS 
  
• Use Case 6 - Detecting Other Libraries
  
• Use Case 7 - Privilege Escalation Detection
  
• Use Case 8 - More Privilege Escalation Detection
  
• Use Case 9 - Even More Privilege Escalation Detection
  
• Use Case 10 - Creating an Admin Account
  
• Use Case 11 - Detecting Name Pipe Impersonation
  
• Use Case 12 - Detecting Mimikatz
• Use Case 13 - Sysmon Lateral Movement Detection, Example One
• Use Case 14 - Sysmon Lateral Movement Detection, Example Two
• Use Case 15 - Sysmon Lateral Movement Detection, Example Three
• Use Case 16 - Sysmon Detecting BadRabbit
• Use Case 17 - Sysmon and Watson chasing BadRabbit

This video series provides insight to troubleshooting activities for your IBM QRadar deployment.

• System Notifications and Error Messages (OpenMic)
• Understanding and troubleshooting IO errors when searching in QRadar
• How to use tcpdump for troubleshooting in QRadar
• Collecting QRadar System Logs
• QRadar Dynamic Systems Analysis

In this set of videos, we provide you with an overview of the IBM QRadar Deployment Architecture.

• Part one talks about the different QRadar appliance models and explains how they can be used in a variety of deployment architectures.
• Part two investigates how to deploy QRadar in remote locations. It also introduces the concepts of high availability, disaster recovery, and deployment options in virtual environments.
• Part three explains deployment options in cloud-based environments. 
• The final part compares deployment options for VMware and QRadar on the Cloud (QRoC)

Each event and flow is a record of an activity in you IT environment. For some events, and all flows, this activity includes a network connection. Many rules need to test, if this network connection is approved in your organization. The rules do this by testing whether the event or flow has been tagged by building blocks with names beginning with BB:HostDefinition and BB:HostReference. Their purpose is to signal QRadar SIEM, which network connections are approved in your organization. In this course, you learn how to approve network connections using these building blocks.

The QRadar SIEM Troubleshooting Tools course contains the following videos:

• The QRadar SIEM Troubleshooting Tools: Introduction to Log Files Part 1 and Part 2 provides an overview of the various log files available and when to use the each log file for troubleshooting.
• The QRadar SIEM Troubleshooting Tools: get_logs shows you how to collect logs for troubleshooting. It also details how to use some of the logs in troubleshooting QRadar issues

For QRadar SIEM 7.3.2, an App Host can take over the running of apps. The App Host replaces the App Node that was available for previous versions of QRadar SIEM. This course teaches how to add an App Host to a QRadar SIEM 7.3.2 installation.

This video series introduces the IBM QRadar advanced search capability using the Advanced Query Language, or AQL. 

Part 1 - Quick Filter and UI Searches

Part 2 - AQL Introduction

Part 3 - Where, Group, Having, Order

Part 4 - Counting

Part 5 - Ref Set, Assets and UBA

Part 6 - Health Metrics and X Force

Part 7 - More Health Metrics and API calls

Part 8 - Payload, Indexed and Regex Searches

When working with custom QRadar Log Sources, you often have to deal with collected information that falls outside the standard normalized data, and this data might be considered important. The Custom Properties are a way to collect this information and use it for your ongoing for your investigations.

In this video series, we investigate various Ransomware, phishing, and malware attack use cases in QRadar.

• Stopping Ransomware in its tracks
  
• Discover Hidden Malware with QRadar
  
• QRadar and Bigfix Stop Ransomware
  
• Using QRadar and X-Force Exchange to protect against WannaCry ransomeware attack

QRadar dashboard items allow the user to focus on different areas of interest. This step-by-step demonstration introduces how to perform network analysis with dashboard items.

Use the QRadar Experience Center App to learn about the QRadar capabilities, simulate common threats, work with log samples in real time, and learn how to analyze your logs. The QRadar Experience Center App is designed for educational purposes, and its menu includes useful videos, links, an FAQ section, and more. 

In this video, you learn how to navigate the Experience Center App.

Use the representational state transfer (REST) application programming interface (API) to make HTTPS queries and integrate QRadar with other solutions. In this series of videos you learn how to make best use of the QRadar API. 

Two major capabilities of QRadar SIEM are to integrate with many other solutions and platforms, and to provide an API platform that can be utilized to build powerful extensions. 

In this video series we focus on the QRadar extension capabilities. We address the following topics: 

• QRadar App Exchange Foundations
  
• QRadar App Development and Troubleshooting (OpenMic)
• Installation and configuration of the Incident Overview App
• Configuration of the X-Force Threat Intelligence feed
  

Every QRadar SIEM Analyst has to master basic investigations skills. In this video series you learn about the following topics: 

• Using flexible Searches to narrow down your investigations 
  
• Finding Anomalies
• Monitoring internal Log Sources

The QRadar SIEM Analyst has to perform many different tasks when it comes to the investigation of offenses, events, and flows. In this video series you learn about the following topics: - Detecting fraud and account takeover - Detecting communication to a malicious Command & Control Server - Detecting a remote scan followed by attempts to login - Detecting multiple Login Failures to Compliance Server - Detecting Chat to a malicious Site - Detecting UDP scan in flows from an IBM XGS Network Security appliance - Detecting phishing e-mails - Detecting awakening dormant Accounts - Detecting Fraud from a URL with Keyword from a bad IP - Detecting jailbroken iPhones using QFlows - Detecting insider threat - USB inserted and bad website visited

Employees in every organization are granted different levels of clearance to access information and classified or restricted areas based on their job profiles, such as different network locations, applications, or data. This process includes users who manage and have access to IT security products that protect the organization's critical resources, such as QRadar. 

Every organization implements its own security policies to provide users with different permissions according to their roles. In this context, QRadar provides the ability to segment users' access based on a combination of factors, which can yield granular results. The information contained in QRadar includes network hierarchy and topology, assets, log and flow sources, event and flow data, offenses, scanning activity, management activity, and more. 

This course introduces QRadar user management foundations, where you learn about user accounts and the different methods to authenticate, and how to implement granular user controls, such as user roles, security profiles, domains, and tenants.

Amazon Web Services (AWS) CloudTrail is a service that enables operational and risk auditing of your AWS account. It collects audit events from Amazon S3 buckets and a Log group in the AWS CloudWatch Logs. CloudTrail allows you to continuously monitor your AWS account activity including actions taken through the Management Console, AWS SDKs, command line, and other services.

QRadar connects through Amazon Web Services' API to retrieve the CloudTrail events, providing event parsing that not only allows for monitoring of your AWS account activity, but also for newly created rules to alert on possible AWS Security violations. AWS-related saved searches are used for reporting, which allows for analyzing trends on policy and user/group changes, and more.

In this video, you learn how to configure QRadar to retrieve logs from an AWS cloud environment source. Two use cases demonstrate how useful this integration can be to your cloud security posture.