QRadar offers a clean solution with straightforward integration for various devices. Once you define your scope, you effectively gain visibility into it. When comparing QRadar to other SIEM solutions like GloD and Splunk, QRadar lags behind other modern advancements. While new SIEM solutions focus on data lakes and big data, QRadar continues to rely on traditional correlation modules.
QRadar should prioritize R&D and product improvement. Their support services have also declined and need attention.
In QRadar's user behavior analytics, we observed an alert triggered by an unusual login attempt from one of our administrators. While monitoring alerts during my shift, QRadar's anomaly-based detection identified a login attempt outside normal hours. The system detected this as a deviation from the established baseline since the administrator had never logged in at that time before. This triggered the alert, helping us identify the compromised account.
QRadar requires ongoing maintenance, and running it effectively often depends on support from engineers. Unlike big data tools, QRadar can struggle with integration and may require fine-tuning, restarts, or troubleshooting if issues arise. Since its merger with other companies, we've encountered many problems and have experienced delays in receiving timely technical support.
You don’t need to learn any additional tools to use the system. It allows you to create dashboards from a management perspective, and its user behavior analytics work very well, although the AI analytics module is still developing.
When handling compliance requests or forensic investigations, an SIEM solution like QRadar is essential. It helps pull up logs and identify what happened during incidents or breaches.
The time required for investigation depends entirely on the impact of the attack. Sometimes, only a single device or network is compromised, which may be resolved quickly. However, the investigation takes longer in cases where the scope is broader, involving multiple devices and networks. The timeframe is driven by the extent of the incident, not just by QRadar.
QRadar is a good product. In Pakistan, many financial sectors are starting to shift towards other solutions. In South Asia, particularly Pakistan, has a growing trend towards Splunk. Similarly, there is a shift towards Splunk, LogRhythm, and RSA in the Gulf region.
Overall, I rate the solution a seven out of ten.