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D3 Security vs Torq comparison

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Comparison Buyer's Guide

Executive Summary

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

D3 Security
Ranking in AI-SOC
28th
Ranking in AI-Powered Security Automation
5th
Average Rating
9.0
Reviews Sentiment
7.5
Number of Reviews
2
Ranking in other categories
Security Incident Response (11th), Security Orchestration Automation and Response (SOAR) (20th)
Torq
Ranking in AI-SOC
1st
Ranking in AI-Powered Security Automation
1st
Average Rating
8.8
Reviews Sentiment
6.6
Number of Reviews
20
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2026, in the AI-SOC category, the mindshare of D3 Security is 1.1%, up from 0.4% compared to the previous year. The mindshare of Torq is 9.5%, up from 4.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI-SOC Mindshare Distribution
ProductMindshare (%)
Torq9.5%
D3 Security1.1%
Other89.4%
AI-SOC
 

Featured Reviews

Muhammad Aamir Riaz - PeerSpot reviewer
Senior Manager Security Operation Center at The Bank of Punjab
Offers open API for integrating any available tools without any recurring costs
Before committing, I recommend a Proof of Concept (POC) or demo first. This way, you can see if the product aligns with your specific use cases and security needs. Knowledge transfer is key, and D3 Security's team excels in this area. During the POC, your analysts gain valuable product knowledge, putting them ahead of the curve for deployment. In our case, the learning curve was steep initially, but by the end of the POC, my team was already building playbooks independently. D3 Security also schedules dedicated knowledge transfer sessions during the POC, making it a win-win for both parties. Since technology transfer is crucial for government entities like ours, this approach eliminates the need for additional learning after deployment, unlike with certain competitors like the Fortinet FortiSOAR case. While Fortinet FortiSOAR achieved the desired tasks, its knowledge transfer process was lacking, leaving us with a shaky foundation. D3 Security's approach solidifies the learning and empowers our team. Overall, I would rate the solution an eight out of ten.
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.

Quotes from Members

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

Pros

"It is an out-of-the-box automated integration with our 20 departments. We perform L1 LiveOps automatically through the portal."
"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."
"According to positive outcomes, Torq reduced manual work and made incident response more efficient."
"With Torq, I automate actions while achieving SLA compliance and streamline alert investigation processes much better."
"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."
"One of the workflows I manage with Torq looks good and provides faster response, saving time and resulting in happy clients."
"Since we started working with Torq, I am handling much fewer alerts, it is becoming really easy for me to handle an alert, I have all the information that I need, I do not need to connect to different vendors to receive this information, and the main thing I got from Torq is time, which now helps me to build another automated system and learn."
"Torq's unified platform approach to AI, SOAR, automation, and case management is superior compared to my experience managing multiple point solutions."
"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."
"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."
 

Cons

"The reporting, especially custom reporting, needs to be improved. Additionally, it would be better if it could be hosted on Linux."
"Reporting needs improvement. MTTR and MTTD metrics aren't directly available in playbooks and require manual effort to achieve."
"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."
"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."
"What has not worked as well as I hoped with Torq is related to product data management and storing data, although it still provides faster response and saves time."
"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."
"However, we did encounter some problems with custom steps, which definitely affected our progress, and the speed of bug fixes is also a bit slower than expected."
"If Torq could enhance its AI features, it would benefit customers significantly by making the platform even more user-friendly."
"The initial deployment of Torq was not easy."
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Top Industries

By visitors reading reviews
Comms Service Provider
26%
Computer Software Company
12%
Outsourcing Company
12%
Construction Company
9%
Financial Services Firm
12%
Outsourcing Company
11%
Comms Service Provider
11%
Manufacturing Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise5
Large Enterprise13
 

Questions from the Community

Ask a question
Earn 20 points
What needs improvement with Torq?
What has not worked as well as I hoped with Torq is related to product data management and storing data, although it still provides faster response and saves time. I think Torq is a good product as...
What is your primary use case for Torq?
My main use case for Torq is for managing IT services and providing faster response.
What advice do you have for others considering Torq?
I would rate Torq a 10 on a scale of 1 to 10. I chose this rating because customer service is excellent. I suggest to others looking into using Torq that it provides a positive response, and I reco...
 

Comparisons

 

Interactive Demo

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Overview

 

Sample Customers

S&P Global, Scotiabank, Cybereason, Cummins
Information Not Available
Find out what your peers are saying about D3 Security vs. Torq and other solutions. Updated: September 2026.
917,403 professionals have used our research since 2012.