Process of Data Collection in QRadar SIEM

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QRadar is a security information and event management solution that collects data from network devices and the business. It is a SIEM solution designed for companies to connect to operating systems, host assets, applications, vulnerabilities, user actions, and behaviors. QRadar is used to do real-time analysis of log data and network flows, allowing malicious activities to be identified and stopped in the shortest amount of time. As a result, QRadar ensures that it either avoids or mitigates harm to its host company.

Working of QRadar SIEM

The QRadar is a Security Intelligence platform that uses advanced analytics and machine learning to parse logs and flow data in real-time to detect any suspicious occurrences. It then compares them to vulnerability and threat intelligence to provide prioritized alerts depending on impact and severity.

Once a threat is identified, QRadar can integrate the entire chain of events and investigate to discover the underlying cause and scope of the assault. You can obtain deeper visibility into user behavior, endpoint activity, network traffic, and more using pre-packaged rules, over 500 out-of-the-box connectors, and readily downloadable applications. All of this is visible from a single platform and manageable through a single pane of glass.

Data collection in QRadar SIEM 


QRadar's architecture is three-tiered, with collectors at the bottom. The processor is placed above the collectors, leaving the console at the top. QRadar collectors are connected to all network and cloud assets and apps. All collectors transmit logs to the processor for correlation and analysis, with the findings shown in the QRadar interface.

The first layer is data collection, which collects data from your network, such as events or flows. The all-in-one appliance may gather data directly from your network, or you can collect event or flow data via collectors such as QRadar Event Collectors or QRadar QFlow Collectors. Before sending to the processing layer, the data is parsed and normalized. When raw data is processed, it is normalized to be presented in an organized and helpful way.

Event data describes events in the user's environment at a particular moment in time, such as user logins and emails.

Flow data is information about network activity or sessions between two hosts on a network that QRadar converts into flow records.

QRadar converts or normalizes raw data into IP addresses, ports, byte and packet counts, and other information, which is then recorded in flow records. This is effectively a two-host session. In addition to capturing flow information using a Flow Collector, the QRadar Incident Forensics component supports complete packet capture.

QRadar with InfosecTrain

If you wish to learn QRadar, you should opt for InfosecTrain's QRadar SIEM Security Training since we are a top training provider. Our highly qualified and professional trainers are well-versed in the subject matter. We concentrate on establishing a solid foundation and equipping applicants with professional expertise.

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