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DNIF HYPERCLOUD vs IBM Resilient comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Dec 5, 2024

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Torq
Sponsored
Ranking in Security Orchestration Automation and Response (SOAR)
4th
Average Rating
8.6
Reviews Sentiment
6.6
Number of Reviews
18
Ranking in other categories
AI-SOC (1st), AI-Powered Security Automation (1st)
DNIF HYPERCLOUD
Ranking in Security Orchestration Automation and Response (SOAR)
28th
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
8
Ranking in other categories
Log Management (45th), Security Information and Event Management (SIEM) (45th), User Entity Behavior Analytics (UEBA) (19th)
IBM Resilient
Ranking in Security Orchestration Automation and Response (SOAR)
19th
Average Rating
7.4
Reviews Sentiment
6.6
Number of Reviews
18
Ranking in other categories
Security Incident Response (7th)
 

Mindshare comparison

As of August 2026, in the Security Orchestration Automation and Response (SOAR) category, the mindshare of Torq is 3.6%, down from 5.7% compared to the previous year. The mindshare of DNIF HYPERCLOUD is 1.7%, up from 0.3% compared to the previous year. The mindshare of IBM Resilient is 2.3%, up from 1.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Security Orchestration Automation and Response (SOAR) Mindshare Distribution
ProductMindshare (%)
Torq3.6%
IBM Resilient2.3%
DNIF HYPERCLOUD1.7%
Other92.4%
Security Orchestration Automation and Response (SOAR)
 

Featured Reviews

AD
Solutions Architect at ProArch
Automation has streamlined multi-tenant SOC workflows and improves alert handling efficiency
Although the reporting within Torq is not that great, we did ask for many features regarding reporting in Torq, but due to some platform constraints, they could not make the whole dataset available for us to be used in reporting. Except for that, we used some basic reporting. When I used Torq, it was indeed in the early stages of AI capabilities. Only a few customers were allowed to use it, and we were among them. It functioned well as long as we summarized the data properly. If you input garbage, you would get garbage out. Thus, we had to do significant fine-tuning regarding what data context we provided to the AI orchestrator to get meaningful results. In terms of Torq's unified platform approach to AI SOC automation and case management compared to managing multiple point solutions across my security stack, I find it case-centric. The unified view in case management is good since it provides clarity, although there are limitations regarding how many items in case management can be modified at once. Bulk operations are very limited, potentially due to their back-end database or data retrieval processes that can be improved. Regarding improvements for Torq, when we were onboarded, there were aspects we were uncertain about, such as the number of cases that could be generated, what data we could bring in, how many clients we could onboard, and similar concerns. Initially, we also lacked clarity about the number of playbooks or workflows we could build. Different triggers like system triggers, case-based triggers, and others can be employed without restrictions, but when it comes to on-demand and scheduled jobs, there is a limitation based on the subscription and pricing tier that notably caps the number of workflows we can create. No bulk editing across cases was one issue, along with limited filtering related to single grouping constraints. Additionally, the out-of-the-box case templates provided require substantial modifications before they become usable. There is also a feature in the cases for notes that cannot be searched. They are only visible through the UI, which is another area for improvement. The workflow and execution-based charges seem misleading as this was not discussed initially. I am not sure if new customers are made aware of this. It seems that workflows revolving around cases hinder functionality outside of case management, as we have many use cases needing on-demand triggers and schedules for functions like reporting or polling devices. Creating additional workflows to achieve basic functionalities raises costs significantly, which disadvantages customers. While they facilitate optimization and scaling, the support received tends to be very basic. Improvements can be made in that area as well.
Kishore Tiwari - PeerSpot reviewer
Deputy General Manager - Information Security (Lead ISA) at a energy/utilities company with 1,001-5,000 employees
Development from open sources is very valuable but a huge infrastructure is required
The solution's command line should be simpler so that routine commands can be used. The search configuration is a bit different than other OEMs or SIEM solutions like ArcSight or QRadar that are easy to search because they operate similarly. The logic is there and the solution supplies a pretty good explanation. Basically, DNIF spelled out is the opposite of FIND. You have to find commands whenever you want to search something. For example, a highway gets you to your destination but there is an alternate way people don't yet know about. Gartner or Forrester haven't yet studied it. We were a bit nervous when we were trying to get familiar with the solution. We wondered if we could realize ROI because the commands and ways of pulling data were different to us. We raised a case with the support team and their professionals provided the needed support. The command line is user friendly once you understand it. If you need immediate use, then you might want to get assistance from someone who is well-versed in methods for using key patterns to find things. Lengthier files for threat hunting or analysis are needed. The correlation happens, but exporting a large number of files to abstract them is not possible. For example, I want to present raw data to management so I should be able to customize a date range in my query and download the files.
ZaidHaddad - PeerSpot reviewer
Technical Seller at Alawtad group
Suitable for different industries and ensures effective incident response
IBM Resilient is great in many aspects like its wide range of integrations and customizable playbooks. However, one thing to improve is how it handles data formats, which currently might require scripting for conversion to CSV before uploading. Despite this, it stands out for incident response, case management, task organization, and team collaboration, making it a strong choice for organizations compared to competitors like Demisto Palo Alto. When it comes to additional features, I think IBM Resilient is on the right track with its AI capabilities, like linking related incidents and providing recommended actions. It would be nice to see more enhancements in this area, but overall, it looks good.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Torq offers the best feature through integration with AI."
"If I review about 100 vendors that I might work with, Torq is definitely in the top five that gave me personally investment back, just because every bit of effort I put into Torq eventually became a workflow that gave it back to me."
"As an analyst, it has demonstrated potential to reduce workforce requirements and time needed for related activities."
"What I liked the most about Torq is the actual workflow builder, which is really great because they offer a lot of features and convenience features that are useful for any automation engineer."
"Once I started to use the system and I saw the potential, it changed all of our work in IT."
"Under one SOC tool in Torq, analysts get to know everything within the context of an alert or incident they are working on, and this ability to view the whole picture within Torq is one of the major breakthroughs and best offerings of Torq."
"Torq has definitely changed the day-to-day experience for our security analysts, as they feel more excited and feel that Torq interface and workflow allow them to build things themselves."
"We have seen fewer failures of automations from the time Torq came into the picture, we've had a more streamlined process of handling incidents, and at the same time, we've learned to embed the AI into our incident types, and that is how it has helped us in the automation."
"The User Behavior Analytics is a built-in threat-hunting feature. It detects and reports on any kind of malware or ransomware that enters the network."
"If you're an enterprise company and want to scale your productivity for log monitoring purposes, I found DNIF a better option than Splunk which has more complex software."
"The response time on queries is super-fast."
"The solution is quite stable and offers good performance, it also works on a virtual machine and we haven't found any issues with it so far, it's been reliable."
"Has a great search capability."
"Great for scaling productivity for log monitoring purposes."
"The most valuable feature of the solution is the number of EPS it can handle."
"DNIF is much faster, much more responsive, and far superior when compared to competitive tools."
"The product is very good at incident response."
"As a whole, the product is stable...Technical support is very good."
"What I like most about IBM Resilient is that it has a complete stack, which means you don't need to use different OEM products because you have all you need under the IBM Resilient umbrella. You don't need to worry much about integrations and components because you're working with tested and proven architecture."
"IBM Resilient is scalable."
"The UBA, User Behavior Analytics, is very good."
"The integration with IBM SIM and the ability to block users during brute force attacks are particularly effective."
"It's really simple and has a flexible interface."
"The most valuable features of IBM Resilient are its flexibility and customization options for incident response."
 

Cons

"Torq can be improved by adding some more features, such as adding more automation and providing a no-code option so I don't have to code for everything."
"Regarding stability, I have noticed some lagging, crashing, and downtime, which is one of my largest gripes."
"Even now, we have workflows that are in production that use AI steps and I get different results, making it unusable to some degree."
"There are some issues and bugs that I think need to be fixed, but they are currently not focused on it."
"Additionally, the documentation for Torq is not very clear. Most of the information is presented in videos, which are not ideal for reading; there are mostly paragraphs and other text-based content."
"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."
"Torq can probably use more ML and look at what can be closed and what cannot be closed in terms of data classification."
"I wish Torq's AI assistant for building templated workflows from scratch worked better; when you start with a blank slate, asking AI to help you build or template the workflow out does not go well."
"The solution should be able to connect to endpoints, such as desktops and laptops... If this solution had a smart connector to these logs- Windows, Linux, or any other logs - without affecting the performance of the connector, that would be wonderful."
"The solution should be able to connect to endpoints, such as desktops and laptops."
"We have some issues with machine learning plug-ins and I believe they're working on a solution for that."
"I used version 8 which was not at all stable. The services and processor keep going down, we had to manually keep them up increasing storage space because services are down, and logs not processed."
"I feel that DNIF needs to invest more in marketing, considering that it operates at a very competitive speed."
"Dependency on the DNIF support team was frustrating."
"DNIF HYPERCLOUD is not a stable product compared to other tools like IBM QRadar."
"I think DNIF HYPERCLOUD can implement the ability to export more than 100,000. At the moment, we can't go beyond that. So many times, if you're checking for the firewall logs and working on something related to authentication or network-related traffic, while that log count is low, the account goes beyond that. You can't restrict the logs or the amount of data you can export. It's very important for my situation. It would be better if they could increase the capacity of exports. Although there are many more types of searching in DNIF HYPERCLOUD, people still struggle to query out what they want because not everyone is good at SQL or DQL. The easiest way to query out in DNIF is using the GUI-based interface. But in the GUI interface, you can use operator calls. It gets tricky when you want to search for a specific type of event. You don't know where it will be passed and whether it will be consistent. In the initial phase, it's tough for us to use DNIF. You cannot pass every event in a stable DNIF. When we used that particular tool, we used to get those logs, but sometimes many things are not getting passed. So, we used to export the sheet or export the data into Excel and weigh the required details. In the next release, I would like them to improve the export of the columns and make the application more user-friendly. I would also like a threat-hunting feature in the next release."
"The solution is limited, but it needs lots of development, especially when we talk about making actions with other security solutions."
"The ability to analyze incidents needs to be improved in the solution."
"The response time of the support is an area of concern where improvements are required."
"IBM Resilient is quite complex, including its configuration."
"The integration could be improved so that it is easy to integrate with other solutions."
"One thing to improve is how it handles data formats, which currently might require scripting for conversion to CSV before uploading."
"There are shortcomings with IBM Resilient's technical support team that can be considered for improvement in the future."
"The product needs a bit more development."
 

Pricing and Cost Advice

Information not available
"The solution requires a huge infrastructure and that is costly."
"Price-wise, the product is quite economical. I rate the solution's price as three or four on a scale of one to ten, where one is considered to be a very economically priced tool."
"The pricing is based on the log size."
"The cost of the product is quite high."
"It is very expensive."
"I would rate the tool’s pricing a three out of ten. The tool’s pricing is on a yearly basis."
"Pricing for the solution is good, in my opinion."
"There is a license you need to pay for in order to use this product."
"There are no costs except for the support services that our company pays in addition to the licensing charges attached to the solution."
"I feel it is an expensive product when my company pays annually for renewal, support, and follow-up."
"We could create unlimited users using the license we had purchased."
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Construction Company
10%
Outsourcing Company
10%
Comms Service Provider
10%
Construction Company
16%
Outsourcing Company
10%
Comms Service Provider
9%
Financial Services Firm
7%
Financial Services Firm
25%
Construction Company
9%
Outsourcing Company
9%
Government
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise5
Large Enterprise11
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise3
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise2
Large Enterprise7
 

Questions from the Community

What needs improvement with Torq?
Torq can be improved by adding some more features, such as adding more automation and providing a no-code option so I...
What is your primary use case for Torq?
My main use case for Torq is reviewing the incidents and responding to them. After that, I investigate them and take ...
What advice do you have for others considering Torq?
I would definitely recommend others to use Torq as it is an all-rounder tool which even integrates AI. As we all know...
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What is your experience regarding pricing and costs for IBM Resilient?
I am not the one in charge of pricing, so I am not sure about the costs.
What needs improvement with IBM Resilient?
Integration with some devices, including Cisco PowerPower and certain antivirus products, has limitations.
 

Overview

 

Sample Customers

Information Not Available
Mahindra & Mahindra, Tata Consultancy Services (TCS), ICICI Bank, Yes Bank, Tata Motors, RBL Bank
Golden Living, Health Equity, USA Funds
Find out what your peers are saying about DNIF HYPERCLOUD vs. IBM Resilient and other solutions. Updated: August 2026.
909,725 professionals have used our research since 2012.