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DNIF HYPERCLOUD vs NetWitness NDR 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
8.8
Reviews Sentiment
6.6
Number of Reviews
16
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)
NetWitness NDR
Ranking in Security Orchestration Automation and Response (SOAR)
23rd
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
15
Ranking in other categories
Endpoint Protection Platform (EPP) (49th), Threat Intelligence Platforms (TIP) (34th), Endpoint Detection and Response (EDR) (59th), Network Detection and Response (NDR) (20th), Extended Detection and Response (XDR) (41st)
 

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 NetWitness NDR is 1.8%, up from 0.6% 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%
NetWitness NDR1.8%
DNIF HYPERCLOUD1.7%
Other92.9%
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.
reviewer1799727 - PeerSpot reviewer
Manager, IT Security Operations at a non-profit with 11-50 employees
Reliable and good support but can be expensive
I have no real complaints about the solution. Threat detection could be better. They need to enhance their threat intelligence feeds. We would like to have more IOCs or more trade intelligence to not only rely on the intelligence of the engineer in charge but to have some threat intelligence and some seeds of IOCs and to have the host have some artificial intelligence to reduce the number of false positives. I don't see this solution being very scalable. The solution is pricey.

Quotes from Members

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

Pros

"Torq has helped a lot regarding SOC analyst efficiency."
"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."
"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."
"Torq offers the best feature through integration with AI."
"According to positive outcomes, Torq reduced manual work and made incident response more efficient."
"Torq has exceeded expectations by delivering workflows in a timely and lower effort manner than XSOAR, and it meets all my needs while saving a ton of time and targeting $600,000 saved this year, which is a substantial amount of money."
"Any request that comes in, regardless of how complex it is, I can accomplish it with Torq."
"As an analyst, it has demonstrated potential to reduce workforce requirements and time needed for related activities."
"Has a great search capability."
"I like the MITRE table, a feature I saw for the first time in the same solution. There was one MITRE tactic table, which can be used to identify threats if you have all kinds of rules enabled or if you have rules for all the tactics in the MITRE table. There are 14 tables in MITRE, and those 14 tables consist of multiple columns, tactics, and techniques. It was one of the first SIEM tools I saw that had that particular MITRE table. On that basis, you can create new rules and identify existing ones. At any point, if an alert is triggered, it will try to match it to any of those MITRE tactics. I liked that creating a workbook on MITRE business was straightforward. I also like that you can search using SQL or DQL."
"The beauty of the solution is that you can develop infrastructure for a data lake using open sources that are separate from the licenses."
"The benefit of DNIF was that the solution was able to detect any anomalies and identify and prevent any possible security threats or attacks."
"The dashboard is helpful, and it creates visualizations to let staff review event data and identify patterns and anomalies."
"DNIF is much faster, much more responsive, and far superior when compared to competitive tools."
"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 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."
"It is very easy to use, and its usability is great."
"The solution is stable."
"I would highly recommend the solution. Just go ahead and get it."
"The most valuable feature is the way it captures the traffic, and it contains every detail of the communication."
"It is stable. We have been using it for some time, without any issues."
"We've contacted technical support several times. They've been very good. They have been able to help us resolve our issues."
"Technical support is knowledgeable."
"RSA NetWitness does market analysis in a more granular form. It gives you full visibility."
 

Cons

"Regarding the pricing of Torq, I would say it is expensive."
"Torq does extensive marketing saying that SOAR is dead and markets itself as an all-in-one solution, but this is not actually true."
"The workflow and execution-based charges seem misleading as this was not discussed initially, and creating additional workflows to achieve basic functionalities raises costs significantly, which disadvantages customers."
"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."
"Even now, we have workflows that are in production that use AI steps and I get different results, making it unusable to some degree."
"Regarding stability, I have noticed some lagging, crashing, and downtime, which is one of my largest gripes."
"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."
"The initial deployment of Torq was not easy."
"There are currently some issues with machine learning plug-ins."
"We have some issues with machine learning plug-ins and I believe they're working on a solution for that."
"The EBA could be improved."
"The vendor is fairly new and it's not as big as some of the international competitors. It's not a mature product. If you ask them to move data, it might take a lot of time."
"DNIF HYPERCLOUD is not a stable product compared to other tools like IBM QRadar."
"The solution should be able to connect to endpoints, such as desktops and laptops."
"I feel that DNIF needs to invest more in marketing, considering that it operates at a very competitive speed."
"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."
"NetWitness Endpoint's blocking feature does not work properly - if there's a malicious process, it's not possible to kill it via a custom rule unless and until it's flagged as malicious."
"One of the drawbacks of using this product is that when you deploy, you have to create MSI files."
"Threat detection could be better."
"The solution lacks a reporting engine."
"The contamination feature could be improved."
"The integration of the solution needs to be improved. The dashboard needs lots of updates as well. In the next release, we would like to see advanced fraud detection features."
"RSA NetWitness Endpoint is a scalable solution. However, the problem which we normally face is in terms of the migration of the solution."
"The initial setup requires a high level of skill, then the setup is good and smooth."
 

Pricing and Cost Advice

Information not available
"The pricing is based on the log size."
"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 not very economical. It is a quite costly product for India. One thing is that when you purchase it, you have to purchase a module separately."
"It is an expensive product."
"I do not have any opinion on the pricing or licensing of the product."
"We are on a three-year contract to use RSA NetWitness Network."
"With RSA, there is flexibility in choosing the service, products, and the range that meets your requirement, as well as they are flexible in terms of pricing."
"NetWitness Endpoint is less costly than its competitors, but it offers fewer features."
"They can easily adjust if you have the requirements which are required. If you have a budget cut or a budget constraint, they can bend."
"The price of the solution depends on the environment. If the environment is large then it will cost more. However, the larger the environment with more endpoints, you will receive an increased discount. If the environment is very small, then you might think it is expensive. It is always better to buy in bulk to receive a discount. The minimum number of assets is usually 500, with discounts on 1000 and 2000."
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Construction Company
10%
Outsourcing Company
10%
Comms Service Provider
9%
Construction Company
16%
Outsourcing Company
10%
Comms Service Provider
9%
Financial Services Firm
7%
Financial Services Firm
12%
Construction Company
9%
Manufacturing Company
8%
Outsourcing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise5
Large Enterprise9
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise3
By reviewers
Company SizeCount
Small Business10
Midsize Enterprise2
Large Enterprise6
 

Questions from the Community

What needs improvement with Torq?
The only thing is more out-of-the-box integrations. Torq already has a lot of supported integrations and adding new o...
What is your primary use case for Torq?
For Torq, first of all, it's a hyperautomation and AI assistant usage. Our EDR SentinelOne is integrated in Torq and ...
What advice do you have for others considering Torq?
I think I have told everything about Torq that I can share at this stage, but I am still in the process of learning t...
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Also Known As

No data available
No data available
RSA ECAT, NetWitness Network
 

Overview

 

Sample Customers

Information Not Available
Mahindra & Mahindra, Tata Consultancy Services (TCS), ICICI Bank, Yes Bank, Tata Motors, RBL Bank
ADP, Ameritas, Partners Healthcare
Find out what your peers are saying about DNIF HYPERCLOUD vs. NetWitness NDR and other solutions. Updated: June 2026.
908,800 professionals have used our research since 2012.