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5-star reviews ( Show all reviews )

    Abhimanyu Das

Improved phishing investigations and threat hunting have strengthened our security operations

  • December 14, 2025
  • Review from a verified AWS customer

What is our primary use case?

I use IBM Security QRadar to collect logs, analyze them, and share details. When I began investigating incidents and working with the SOC team, I was using IBM Security QRadar.

How has it helped my organization?

IBM Security QRadar has been a game-changer for our SOC at Kantar. It pulls everything together—logs from endpoints, networks, you name it—letting us spot threats faster and cut down response times by about 40% on stuff like phishing alerts and endpoint issues across our 6,000 machines.

What is most valuable?

IBM Security QRadar offers a wide range of powerful features. During phishing-related investigations, it greatly assists from an analyst’s investigation point of view. A core capability of IBM Security QRadar is visibility — it collects and normalizes logs and network flow events from multiple tools. It can ingest logs from almost any source. Its advanced, modular architecture supports real-time log collection from diverse systems, making it well-suited for environments using platforms such as CrowdStrike, Microsoft Defender, Trend Micro, and Symantec.

These features are highly beneficial in our environment because, from a security perspective, proper log collection and management are crucial. QRadar streamlines SOC operations by automating alert triggers and providing unified visibility across multiple environments, which enhances our team’s ability to handle phishing and EDR alerts effectively. The shift handover capability is another valuable feature of IBM Security QRadar. Real-time log normalization and its advanced analytics engine help reduce high-risk alerts and false positives by up to 50%.

From an analyst’s perspective, threat hunting and groundwork during rotational shifts, combined with SOAR playbook automation, enable efficient endpoint isolation and quarantine actions. IBM Security QRadar also features a custom rules engine that allows analysts to create dynamic rules using AQL, targeting niche threats such as suspicious domains, all without vendor lock-in. Unlike rigid EDR policies, its petabyte-scale indexing efficiently handles massive event-per-second (EPS) volumes without performance degradation, making it ideal for expanding enterprise environments compared to lighter SIEM solutions.

What needs improvement?

IBM Security QRadar needs improvement in several areas. It should be better integrated with AI, as L1 analysts often deal with noisy rules that require constant fine-tuning. Smarter, out-of-the-box analytics — comparable to CrowdStrike’s low false-positive performance — would significantly enhance efficiency. Additionally, a more intuitive and customizable dashboard would provide better visibility, making it easier to identify available options and streamline operations.

The QRadar mobile app also requires upgrades, as it currently lags behind with limited incident (offense) visibility and lacks push alerts for high-severity events. This becomes challenging during shift rotations. Adding an option for bulk offense closure with multi-select capabilities and predefined reason templates would save time, as manual tagging is currently cumbersome. These improvements are essential for optimizing the overall analyst experience.

For how long have I used the solution?

I have used IBM Security QRadar for more than two years.

What do I think about the stability of the solution?

QRadar scales like a champ for our setup—handles petabyte-scale data

How are customer service and support?

Good

Which solution did I use previously and why did I switch?

Yeah, before QRadar, we were piecing things together with a mix of Microsoft Defender for logs from endpoints and some basic syslog forwarding from Trend Micro Deep Security, but it wasn't a full SIEM—just siloed tools that made correlation a nightmare.

How was the initial setup?

complex

What about the implementation team?

consultant

What was our ROI?

I can say that almost 35% of time is reduced, specifically 30 to 35% time reduction.

Which other solutions did I evaluate?

We looked at Splunk and Azure Sentinel as main alternatives before landing on QRadar—Splunk for its search power and Sentinel since we're heavy on Azure.

What other advice do I have?

I recommend IBM Security QRadar because it is a trusted IBM product that many organizations and financial institutions use for its strong visibility and analytical capabilities. I have had a great experience working with IBM Security QRadar. From what I know, most SOC professionals agree that once you gain experience with QRadar, adapting to any other SIEM tool becomes much easier. Overall, I would rate my experience with IBM Security QRadar highly due to its robust features and wide industry adoption.


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