


IBM Security QRadar and UnderDefense MDR are competing in the cybersecurity domain. IBM Security QRadar slightly outperforms due to its robust analytics and scalability, while UnderDefense MDR is notable for advanced threat detection.
Features: IBM Security QRadar provides advanced threat detection, detailed analytics, and high scalability. UnderDefense MDR features integrated threat detection, rapid response times, and streamlined threat management.
Ease of Deployment and Customer Service: IBM Security QRadar's deployment is complex and resource-intensive, balanced by strong support. UnderDefense MDR offers straightforward deployment with personalized customer service, making it more accessible.
Pricing and ROI: IBM Security QRadar has a higher setup cost but promises significant long-term ROI with its comprehensive capabilities. UnderDefense MDR is more cost-effective, focusing on quick returns through efficient threat management.
Since we started working with Torq, I am handling much fewer alerts. It is becoming really easy for me to handle an alert.
We have seen a return on investment, targeting a $600,000 ROI for the year.
I have seen a return on investment with Torq, as the automation reduces the number of employees needed and significantly saves both time and resources.
With SOAR, the workflow takes one minute or less to complete the analysis.
AWS gives the chance to implement a solution out of the box with use cases that are already in IBM Security QRadar.
Investing this amount was very much worth it for my organization.
Log triage no longer takes up our security team's calendar, allowing those hours to go into platform architecture, our DRM protections, and proactive hardening.
Each alert comes with the caller, the endpoint, and the queries, so we do not dig through logs.
I have seen a return on investment, mainly in time and not having to build a team, as we did not need to hire a security team to get around-the-clock cloud coverage.
My impression of their technical support during the initial setup was that they were helpful, responded within a reasonable timeframe, and provided exactly what we needed.
The speed and quality of their answers have been pretty good, as I usually get a response within 24 hours, and they follow up well.
We can always get an answer, and the support team are experts in their own system.
They assist with advanced issues, such as hardware or other problems, that are not part of standard operations.
Support needs to understand the issue first, then escalate it to the engineering team.
The support is really good; for instance, if a critical ticket is submitted, you will get paged right away as it gets logged, and their analyst will look into it, letting you know as soon as possible so you can work on it.
When we needed a baseline adjusted or a finding explained, we got a clear answer quickly.
I would rate the customer support on a scale of 1 to 10 as 10.
The customer support has been responsive and helpful.
Its scalability is good because it has a cloud-native architecture and it expands dynamically to handle thousands of alerts at the same time.
Our case management is super scalable.
In terms of scalability, you can do as long as you can build it, and they can support it.
For EPS license, if you increase or exceed the EPS license, you cannot receive events.
Our platform sees sharp spikes from bulk uploads and fast-spreading assets, and UnderDefense Agentic AI SOC handles them without needing us to resize or retune anything.
UnderDefense's scalability is good, as the same coverage applies as our cloud environment grows without us changing anything on our side.
Our traffic is high, and UnderDefense handles it without us changing anything.
We have been using Torq for one and a half years, but we have experienced no downtime.
Most of the time, the system is stable as long as the components that they integrate with are stable.
I have never faced any downtime or issues.
On cloud, you don't see any disconnections or instability.
I think QRadar is stable and currently satisfies my needs.
The product has been stable so far.
We use it every day and it has run steadily, including when our traffic is high.
Torq should offer default templates that can directly scan firewall data and automate actions.
The AI value depends on maturity. Real value depends heavily on telemetry, integration depth, and workflow design, all of which rely on how mature customers are in their SOC department.
It was able to capture data but was unable to differentiate between the agent hostname we are using and the hostname that resides on the back end of the Internet.
We receive logs from different types of devices and need a way to correlate them effectively.
If AI-related support can suggest rules and integrate with existing security devices like MD, IPS, this SIM can create more relevant rules.
IBM Security QRadar does not support Canvas, so we had to create custom scripts and workarounds to pull logs from Canvas.
It is worth it for accurate triage later, but a template for common upload patterns will shorten that time.
The setup and daily use have both been smooth.
Showing the customer name in the alert would help.
When they bring more and more value into the platform, it makes more sense to pay that price, but still, it is expensive.
Before deciding to implement Torq, I considered that compared to our old case management platform, Torq was a much better price and had a lot better value for what you get out of the platform, which was a key consideration for the company.
It is an expensive solution, not an inexpensive solution, but we get through the flexibility.
Splunk is more expensive than IBM Security QRadar.
It was costly mainly because of the value you can get right now compared to other solutions.
It depends on how much you want to spend.
licensing was clear from the start, giving me good value for the price
Compared with building the same coverage in-house, it is a much lower cost and did not require us to hire.
Pricing was fair for what we get, setup was easy and took very little of our time, and the licensing was clear from the start, enabling us to see good value for the price.
Torq's unified platform approach to AI SOC automation and case management has significantly benefited us by integrating the case management platform with the automation, which saves time compared to managing multiple point solutions across our security stack.
The fact that I can build whatever I want within my own imagination and skills without relying on code is the best thing about Torq.
You can copy and paste a cURL command. If you have documentation or APIs, you usually have an example on the side. You basically have all the information on how the API call should be. You can just copy that and paste it into a step, and it will just build the step for you.
Recently, I faced an incident, a cyber incident, and it was detected in real time.
IBM Security QRadar gives the opportunity to improve the time to market of the releases with a great evaluation of cybersecurity breaches.
Compared to ArcSight, Splunk, or any other SIEM tools where you need their processing language such as structured query language, SPL, and in Sentinel there is KQL query languages, IBM Security QRadar doesn't require reliance on query languages.
The linking, the filtering, and the readable reasoning each help on their own, but together, they allow a small security team to handle the volume our platform produces without losing sight of the cases that matter.
It has full-time support 24/7 with proactive reports, and monitoring runs around the clock.
The sorting signals and clear reports help my team day-to-day because every morning we look at a short list of cases that matter instead of a long list of raw alerts, and each case comes with the full picture, so we can decide in a few minutes whether it needs action.


| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 6 |
| Large Enterprise | 13 |
| Company Size | Count |
|---|---|
| Small Business | 93 |
| Midsize Enterprise | 39 |
| Large Enterprise | 107 |
Torq is the enterprise AI SOC solution that effectively combines adaptive insights and automation to handle critical threats efficiently. It manages threat lifecycles, swiftly moving from triage to response, ensuring effective risk management.
Torq is designed to streamline security operations by aggregating telemetry across your security stack. It investigates significant risks and manages threats from triage to containment and remediation. This AI-driven tool enhances the capabilities of your SecOps team, allowing them to achieve more impactful results without introducing complicated processes.
What are the key features of Torq?
Why consider Torq based on reviews?
In industries like finance and healthcare, Torq shows effectiveness by adapting to specific risk scenarios often encountered in these fields. Its integration with existing infrastructures makes it a valuable asset for maintaining stringent security standards, essential for protecting critical data and operations in diverse high-stakes environments.
IBM Security QRadar offers real-time threat detection, data correlation, and integration with third-party solutions, providing a user-friendly interface, scalability, and extensive reporting capabilities for SIEM needs.
IBM Security QRadar is designed for comprehensive security monitoring in diverse environments, aiding sectors like telecom and finance with advanced threat detection and breach management. It aggregates data and analyzes user behavior, while its customizable and out-of-the-box rules deliver robust security insights and vulnerability management. The platform seeks enhancements in integration, performance, and user interface, with a focus on AI and cloud service compatibility.
What are the most important features of IBM Security QRadar?Telecom, finance, and cloud-based industries implement IBM Security QRadar for threat detection, compliance, and security monitoring. It is deployed for log collection and correlation, user behavior analytics, and ensuring secure data transfer and incident management, focusing on compliance and anomaly detection.
AGENTIC AI SOC
UnderDefense Agentic AI SOC works on top of your existing security stack, turning every security team into a machine-speed defense unit without tool replacement or headcount expansion. It takes over the investigative routine that pulls your team away from strategic decisions: enrichment, correlation, triage.
▸ Investigation at Machine Speed: Agentic AI SOC accesses tools, enriches data, and performs deep cross-environment investigations at machine speed. It correlates, triages, and forms conclusions, offloading all repetitive work from your team.
▸ 2 Minutes Per Alert: Complete SIEM queries, threat intel checks, and cross-system correlations in 2 minutes. Every step fully observable and auditable.
▸ Human at Every Decision Point: The platform verifies suspicious activity with end-users via Slack or Teams, then routes containment decisions to your team or our 24/7 IR experts.
We monitor all Extended Detection and Response (XDR) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.