


IBM Security QRadar and Exabeam are competitors in the cybersecurity space. While QRadar offers robust threat insights and real-time alerting, Exabeam stands out with a user-friendly interface and automation capabilities, giving it an edge in usability and analytics.
Features: IBM Security QRadar provides comprehensive threat insight, allowing for centralized threat detection and real-time alerting through advanced rule correlation. It also boasts strong integration options and user behavior analytics (UBA). Exabeam offers a user-friendly interface, advanced automation capabilities, and machine learning features for effective user and entity threat detection, along with customization options.
Room for Improvement: IBM Security QRadar faces challenges with integration, high costs, upgrade difficulties, and technical support issues due to its complexity and distributed nature. Exabeam needs to enhance its documentation and dashboard customization and faces integration issues with cloud environments and API interactions.
Ease of Deployment and Customer Service: IBM Security QRadar supports diverse deployment options, including on-premises and hybrid platforms, though customer service can be inconsistent and slow. Exabeam offers on-premises and public cloud deployments with generally satisfactory support, though it encounters some challenges during deployments due to documentation and understanding issues.
Pricing and ROI: IBM QRadar is considered expensive with complex licensing models, although it delivers considerable ROI for large implementations due to its operational efficiency. Exabeam presents competitive, usage-based pricing tailored for its feature set, offering good ROI through time and resource savings.
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.
By the time we officially bought Torq, we already had two workflows that were very helpful to us.
Exabeam offers more machine learning models that detect anomalies.
I have seen a return on investment with Exabeam Fusion SIEM, and it is worth the money.
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.
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.
Even with TAM support from Exabeam, many issues go unresolved.
I would rate Exabeam Fusion SIEM support team a nine out of ten; I do not give anyone a perfect score.
I also had the chance to look at the documentation, and the documentation is good.
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.
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.
Regarding the ability of the solution to grow in your work environment, if it is scalable, if it fits your business requirements, and if there is room to scale up, the answer is yes, for sure.
I believe Exabeam Fusion SIEM is excellent regarding scalability, and I would rate it at approximately an eight out of ten.
Regarding Exabeam's scalability and how well it adapts to its customers' needs, I would rate it an eight.
For EPS license, if you increase or exceed the EPS license, you cannot receive events.
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.
These problems were not frequent, and the last six to eight months have been stable.
Regarding stability, I would rate Exabeam Fusion SIEM at approximately eight to eight and a half out of ten because it is very stable.
Overall, I think Exabeam's stability level is good.
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.
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.
Exabeam needs to improve its documentation and provide more customization for dashboards and case management.
I have explored the SaaS version; it offers many new features.
Exabeam's integration capabilities are not good, as Exabeam has a very limited number of integrations and no out-of-box integration.
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.
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.
The pricing for Exabeam Fusion SIEM is not cost prohibitive, but it was a little more than I initially thought.
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.
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.
Exabeam's AI capabilities, like the natural language mode, convert natural language into Exabeam queries, enhancing ease of use.
The product offers useful features like the dashboard, timeline, and session views, which enhance our security tools.
Exabeam's UEBA is the most valuable feature that I have found so far.
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.

| Company Size | Count |
|---|---|
| Small Business | 2 |
| Midsize Enterprise | 5 |
| Large Enterprise | 5 |
| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 5 |
| Large Enterprise | 7 |
| Company Size | Count |
|---|---|
| Small Business | 92 |
| 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?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.
Exabeam offers intuitive interfaces, detailed dashboards, and powerful analytics to enhance security investigations. Its machine learning detects complex threats with automation streamlining tasks for efficiency and integration with AWS.
Exabeam stands out with its robust cybersecurity management capabilities, offering advanced user behavior analytics and incident detection tools. Security teams can use its systems to monitor events, create investigative timelines, and analyze log data. While praised for easy use, it benefits from initial training for optimal utilization. Challenges include the need for better flexibility, cost-management, and enhanced AI integration. However, it facilitates seamless AWS integration, real-time updates, and vulnerability prioritization within business contexts. Improvements in dashboard customization and overall performance, especially in UI and log ingestion, could enhance usability.
What are Exabeam's key features?Exabeam is widely used across industries such as finance and government for cybersecurity management. Organizations leverage its capabilities for integrating logs, protecting sensitive environments, and supporting compliance efforts. Its tools aid in detecting anomalies and managing security operations within infrastructures effectively.
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.
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