D3 Security vs DNIF HYPERCLOUD comparison

D3 Security and NETMONASTERY are both solutions in the Security Orchestration Automation and Response (SOAR) category. D3 Security is ranked #17 with an average rating of 10.0, while NETMONASTERY is ranked #28. D3 Security holds a 1.2% mindshare in SOAR, compared to NETMONASTERY’s 1.0% mindshare. Additionally, 100% of D3 Security users are willing to recommend the solution, compared to 85% of NETMONASTERY users who would recommend it.

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Executive SummaryUpdated on Dec 5, 2024

D3 Security and DNIF HYPERCLOUD compete in the security software market. While D3 Security is advantageous in support and affordability, DNIF HYPERCLOUD offers greater capabilities, making it a preferred choice despite higher pricing.

Features: D3 Security includes automation, incident response capabilities, and reporting tools, streamlining workflows and boosting efficiency. DNIF HYPERCLOUD provides advanced threat detection, log management, and scalable architecture, offering extensive security insights and leading in feature richness, making it suitable for complex environments.

Ease of Deployment and Customer Service: D3 Security features a straightforward deployment model and robust customer support, facilitating quick integration and assistance. DNIF HYPERCLOUD requires more technical involvement during deployment but compensates with excellent scalability and detailed guidance.

Pricing and ROI: D3 Security offers a cost-effective setup with promising ROI, appealing to budget-conscious buyers. DNIF HYPERCLOUD, priced higher, delivers a strong ROI through valuable features for long-term strategic goals, attracting those prioritizing advanced features and long-term investment.

To learn more, read our detailed D3 Security vs. DNIF HYPERCLOUD Report (Updated: December 2025).

Buyer's Guide

D3 Security vs. DNIF HYPERCLOUD

December 2025

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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

Mindshare comparison

As of January 2026, in the Security Orchestration Automation and Response (SOAR) category, the mindshare of Torq is 4.9%, up from 4.5% compared to the previous year. The mindshare of D3 Security is 1.2%, up from 0.4% compared to the previous year. The mindshare of DNIF HYPERCLOUD is 1.0%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Security Orchestration Automation and Response (SOAR) Market Share Distribution
Product	Market Share (%)
Torq	4.9%
D3 Security	1.2%
DNIF HYPERCLOUD	1.0%
Other	92.9%

Security Orchestration Automation and Response (SOAR)

Featured Reviews

Nimrod Vardi

Global IT Director at OpenWeb

Automation workflows have transformed our IT, enabling secure just-in-time access control

We work with them quite often, so we have a direct line regarding areas in Torq that have room for improvement. If we have a feature request, we can request it. I do not have anything in mind at the moment. We were a design partner for a short while, so we feel that they listen and that users of the system have an impact on the way the system is designed for the better. They have a new community, which is something that I personally suggested years ago. There are many people like me in different places and they might have already built the workflow that I need. Having the option to share workflows or to jump on a thread and say I have this need, did anyone ever build a workflow for it, is amazing. Someone would jump in and say yes, sure, here, take this workflow. I think this is an amazing thing and I really hope that the community will come alive because I think this is really powerful. This is something that I already suggested and it did happen eventually, and I am quite happy with it. I do not have any specific feature in mind that I have a need for at the moment.

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Muhammad Aamir Riaz

Senior Manager Security Operation Center at The Bank of Punjab

Useful for automation and reporting and has open API for seamless integration

It was easy to integrate the tool with our infrastructure because all the APIs are pre-built. We just created a drag-and-drop prompt to integrate the solution with our infrastructure. I rate the overall solution a ten out of ten. Everyone needs to evaluate this solution according to their organization's needs because it can integrate well, but this depends on the technology you already have in your organization. It is an automation tool for detection and response, and while integration is possible, using legacy products could create issues. Some legacy products are closed systems and do not expose their APIs to other vendors. In such cases, you could run into problems. If you are considering this solution, check which APIs are available before you proceed. Otherwise, you may get the solution, but you must spend time on integrations. They provide integration support, but it's not automatic; it will take time.

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Kishore Tiwari

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.

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Quotes from Members

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

Pros

"Using that one piece of AI, we auto-closed 511 cases in quarter four alone."

"Once I started to use the system and I saw the potential, it changed all of our work in IT."

"As an analyst, it has demonstrated potential to reduce workforce requirements and time needed for related activities."

"What I appreciate most about Torq is that it is an essential part of our system."

"The solution's valuable feature is its GUI. It has more than 450 connectors, which are excellent for connecting devices and automating integration. The solution has all the features we need. We deployed it in our environment, and it's fully integrated. Thanks to their open APIs, the seamless integration makes everything work well together."

"It is an out-of-the-box automated integration with our 20 departments. We perform L1 LiveOps automatically through the portal."

"The dashboard is helpful, and it creates visualizations to let staff review event data and identify patterns and anomalies."

"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."

"Great for scaling productivity for log monitoring purposes."

"The solution is quite stable and offers good performance. It also works on a virtual machine. We haven't found any issues with it so far. It's been reliable."

"The beauty of the solution is that you can develop infrastructure for a data lake using open sources that are separate from the licenses."

"Has a great search capability."

"The response time on queries is super-fast."

"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."

More DNIF HYPERCLOUD pros

Cons

"Regarding stability, I have noticed some lagging, crashing, and downtime, which is one of my largest gripes."

"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."

"The initial deployment of Torq was not easy."

"Reporting needs improvement. MTTR and MTTD metrics aren't directly available in playbooks and require manual effort to achieve."

"The reporting, especially custom reporting, needs to be improved. Additionally, it would be better if it could be hosted on Linux."

"Dependency on the DNIF support team was frustrating."

"The solution's command line should be simpler so that routine commands can be used."

"I feel that DNIF needs to invest more in marketing, considering that it operates at a very competitive speed."

"The EBA could be improved."

"There are currently some issues with machine learning plug-ins."

"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."

"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 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."

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."

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Computer Software Company

Manufacturing Company

Healthcare Company

Comms Service Provider

27%

Computer Software Company

18%

University

10%

Outsourcing Company

Transportation Company

10%

Manufacturing Company

Financial Services Firm

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	1
Large Enterprise	3

Questions from the Community

What needs improvement with Torq?

From our research and testing with the tool, we determined there need to be modifications and changes to train the LL...

See all answers

What is your primary use case for Torq?

I used Torq for conducting one of the proof of evaluations for a vendor we are connected with. I am currently working...

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What advice do you have for others considering Torq?

One of our members uses AWS, and we receive their feed. This involves triaging AWS-related logs. While I do not have ...

See all answers

What needs improvement with D3 Security?

The reporting, especially custom reporting, needs to be improved. Additionally, it would be better if it could be hos...

See all answers

What is your primary use case for D3 Security?

We use the tool for automation and reporting. It helps to automate our playbooks.

See all answers

What advice do you have for others considering D3 Security?

It was easy to integrate the tool with our infrastructure because all the APIs are pre-built. We just created a drag-...

See all answers

What needs improvement with DNIF HYPERCLOUD?

A lot of people don't know about DNIF HYPERCLOUD, but they do know about products like Splunk, QRadar, ArcSight, and ...

See all answers

What is your primary use case for DNIF HYPERCLOUD?

DNIF HYPERCLOUD is a good SIEM solution. One of the tools' features is very high scalability in terms of the events g...

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What advice do you have for others considering DNIF HYPERCLOUD?

The tool's ability in the area of its analytic capabilities has enhanced our company's security poster in a good way,...

See all answers

Comparisons

Tines vs Torq

Compared 48% of the time

Splunk SOAR vs Torq

Compared 13% of the time

Blink Ops vs Torq

Compared 12% of the time

Palo Alto Networks Cortex XSOAR vs Torq

Compared 10% of the time

Swimlane vs Torq

Compared 7% of the time

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Palo Alto Networks Cortex XSOAR vs D3 Security

Compared 32% of the time

Splunk SOAR vs D3 Security

Compared 25% of the time

Swimlane vs D3 Security

Compared 16% of the time

ServiceNow Security Operations vs D3 Security

Compared 15% of the time

Fortinet FortiSOAR vs D3 Security

Compared 12% of the time

More D3 Security Competitors

Splunk Enterprise Security vs DNIF HYPERCLOUD

Compared 16% of the time

Elastic Security vs DNIF HYPERCLOUD

Compared 10% of the time

Seceon Open Threat Management Platform vs DNIF HYPERCLOUD

Compared 8% of the time

IBM Security QRadar vs DNIF HYPERCLOUD

Compared 8% of the time

Fortinet FortiSIEM vs DNIF HYPERCLOUD

Compared 6% of the time

More DNIF HYPERCLOUD Competitors

Product Reports

Buyer's Guide

Torq

January 2026

Download Torq product report

Buyer's Guide

Security Incident Response

January 2026

Download D3 Security product report

Buyer's Guide

DNIF HYPERCLOUD

January 2026

Download DNIF HYPERCLOUD product report

Interactive Demo

Demo not available

Torq

D3 Security

Demo not available

NETMONASTERY

Overview

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?

Adaptive Agentic Insights: Provides real-time threat intelligence tailored to specific security challenges.
Automation: Automates responses to security incidents, minimizing manual intervention requirements.
Threat Lifecycle Management: Comprehensive handling of threats from detection to remediation.
Telemetry Aggregation: Integrates data across platforms for a unified security overview.

Why consider Torq based on reviews?

Efficiency: Users notice significant reductions in time spent managing threats.
Risk Reduction: Enhanced ability to identify and address critical threats promptly.
Resource Optimization: Allows teams to allocate effort to other critical tasks by reducing manual security operations.
Scalability: Adaptable to meet the demands of growing or changing infrastructures.

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.

Torq

D3 Security provides a full-lifecycle incident management platform—one that enables multiple detection sources, enriches standards-based workflows with threat intelligence, orchestrates response, and always guides its users to conclusive remediation. The system is unique in its ability to eliminate incident recurrence, through root cause and corrective action discovery, digital forensics case management, and by generating a foundation of actionable intelligence that supports policies, countermeasures and controls.

D3 Security

DNIF HYPERCLOUD is a cloud native platform that brings the functionality of SIEM, UEBA and SOAR into a single continuous workflow to solve cybersecurity challenges at scale. DNIF HYPERCLOUD is the flagship SaaS platform from NETMONASTERY that delivers key detection functionality using big data analytics and machine learning. NETMONASTERY aims to deliver a platform that helps customers in ingesting machine data and automatically identify anomalies in these data streams using machine learning and outlier detection algorithms. The objective is to make it easy for untrained engineers and analysts to use the platform and extract benefit reliably and efficiently.

NETMONASTERY

Sample Customers

Information Not Available

S&P Global, Scotiabank, Cybereason, Cummins

Mahindra & Mahindra, Tata Consultancy Services (TCS), ICICI Bank, Yes Bank, Tata Motors, RBL Bank

Buyer's Guide

D3 Security vs. DNIF HYPERCLOUD

December 2025

Free Report: D3 Security vs. DNIF HYPERCLOUD

Find out what your peers are saying about D3 Security vs. DNIF HYPERCLOUD and other solutions. Updated: December 2025.

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