


IBM Security QRadar and Exabeam are leaders in the Security Information and Event Management (SIEM) market. QRadar's adaptability for large-scale environments and Exabeam's ease of use make them strong contenders. QRadar stands out for its advanced integration and custom parser capabilities, while Exabeam's automation enhances threat detection efficiency.
Features: IBM Security QRadar includes easy log extraction, scalability, and a wide range of built-in security use cases suitable for complex incidents. It offers custom parser capabilities, seamless integration, and user behavior analytics, which make it adaptable for varied environments. Exabeam excels in correlation engine capabilities, behavior analytics, and machine learning, simplifying threat detection and incident response. Its user-friendly interface and significant automation reduce workload and enhance usability.
Room for Improvement: IBM Security QRadar could improve on incident management by refining alert rights and updates. It also has potential for better accuracy in vulnerability management and enhancing API integrations. Exabeam needs enhancements in its integration features and dashboard customization. Addressing false positives and boosting system performance are also areas for development.
Ease of Deployment and Customer Service: Both IBM Security QRadar and Exabeam offer flexible deployment models, supporting on-premises and cloud solutions for diverse organizational needs. QRadar is noted for its global technical support, though response times could be improved. Exabeam allows rapid deployment with an intuitive interface but faces challenges in professional services and complex integration support. Both solutions are adept at adapting to diverse client environments.
Pricing and ROI: IBM Security QRadar is considered a premium-priced solution, generally suiting larger enterprises with its complex licensing based on events per second. Its tangible ROI is evident in its security performance requiring less manpower. Exabeam offers flexible pricing based on user count or data ingested, appealing to organizations of various sizes. Although potentially costly, its value for price is recognized, with its efficient threat detection contributing positively to ROI.
Since we started working with Torq, I am handling much fewer alerts. It is becoming really easy for me to handle an alert.
By the time we officially bought Torq, we already had two workflows that were very helpful to us.
It pretty much took until we got to our first renewal where we said that this is the value we see, this is the things we want more, but that is the first place where we said we are happy enough that we want to renew.
Exabeam offers more machine learning models that detect anomalies.
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.
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.
Nine out of ten times, they give me a solution even if it is not the solution I wanted, and I still can get to the result.
Even with TAM support from Exabeam, many issues go unresolved.
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.
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.
Most of the time, the system is stable as long as the components that they integrate with are stable.
Regarding stability, I have noticed some lagging, crashing, and downtime, which is one of my largest gripes.
I would rate Torq's product stability at eight, acknowledging that there are bugs, glitches, and downtimes.
These problems were not frequent, and the last six to eight months have been 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.
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.
From an engineering perspective, I think more error messages and error handling information for our engineering team would be very helpful.
If a step is failing, the system could try to autocorrect it with AI or open a ticket from the workflow itself.
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.
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 |
|---|---|
| Midsize Enterprise | 3 |
| Large Enterprise | 4 |
| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 4 |
| Large Enterprise | 7 |
| Company Size | Count |
|---|---|
| Small Business | 91 |
| Midsize Enterprise | 39 |
| Large Enterprise | 105 |
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 Fusion is a cloud-delivered solution that that enables you to:
-Leverage turnkey threat detection, investigation, and response
-Collect, search and enhance data from anywhere
-Detect threats missed by other tools, using market-leading behavior analytics
-Achieve successful SecOps outcomes with prescriptive, threat-centric use case packages
-Enhance productivity and reduce response times with automation
-Meet regulatory compliance and audit requirements with ease
IBM Security QRadar (recently acquired by Palo Alto Networks) is a security and analytics platform designed to defend against threats and scale security operations. This is done through integrated visibility, investigation, detection, and response. QRadar empowers security groups with actionable insights into high-priority threats by providing visibility into enterprise security data. Through centralized visibility, security teams and analysts can determine their security stance, which areas pose a potential threat, and which areas are critical. This will help streamline workflows by eliminating the need to pivot between tools.
IBM Security QRadar is built to address a wide range of security issues and can be easily scaled with minimal customization effort required. As data is ingested, QRadar administers automated, real-time security intelligence to swiftly and precisely discover and prioritize threats. The platform will issue alerts with actionable, rich context into developing threats. Security teams and analysts can then rapidly respond to minimize the attackers' strike. The solution will provide a complete view of activity in both cloud-based and on-premise environments as a large amount of data is ingested throughout the enterprise. Additionally, QRadar’s anomaly detection intelligence enables security teams to identify any user behavior changes that could be indicators of potential threats.
IBM QRadar Log Manager
To better help organizations protect themselves against potential security threats, attacks, and breaches, IBM QRadar Log Manager gathers, analyzes, preserves, and reports on security log events using QRadar Sense Analytics. All operating systems and applications, servers, devices, and applications are converted into searchable and actionable intelligent data. QRadar Log Manager then helps organizations meet compliance reporting and monitoring requirements, which can be further upgraded to QRadar SIEM for a more superior level of threat protection.
Some of QRadar Log Manager’s key features include:
Reviews from Real Users
IBM Security QRadar is a solution of choice among users because it provides a complete solution for security teams by integrating network analysis, log management, user behavior analytics, threat intelligence, and AI-powered investigations into a single solution. Users particularly like having a single window into their network and its ability to be used for larger enterprises.
Simon T., a cyber security services operations manager at an aerospace/defense firm, notes, "The most valuable thing about QRadar is that you have a single window into your network, SIEM, network flows, and risk management of your assets. If you use Splunk, for instance, then you still need a full packet capture solution, whereas the full packet capture solution is integrated within QRadar. Its application ecosystem makes it very powerful in terms of doing analysis."
A management executive at a security firm says, "What we like about QRadar and the models that IBM has, is it can go from a small-to-medium enterprise to a larger organization, and it gives you the same value."
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