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D3 Security vs UnderDefense comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Jul 24, 2026

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 AI-SOC
1st
Ranking in AI-Powered Security Automation
1st
Average Rating
8.6
Reviews Sentiment
6.6
Number of Reviews
21
Ranking in other categories
No ranking in other categories
D3 Security
Ranking in AI-SOC
29th
Ranking in AI-Powered Security Automation
6th
Average Rating
9.0
Reviews Sentiment
7.5
Number of Reviews
2
Ranking in other categories
Security Incident Response (10th), Security Orchestration Automation and Response (SOAR) (21st)
UnderDefense
Ranking in AI-SOC
8th
Ranking in AI-Powered Security Automation
4th
Average Rating
10.0
Reviews Sentiment
7.2
Number of Reviews
5
Ranking in other categories
Endpoint Detection and Response (EDR) (22nd), Security Orchestration Automation and Response (SOAR) (10th), SOC as a Service (4th), Managed Detection and Response (MDR) (10th), Extended Detection and Response (XDR) (15th), Compliance Management (10th)
 

Mindshare comparison

As of November 2026, in the AI-SOC category, the mindshare of Torq is 9.4%, up from 4.3% compared to the previous year. The mindshare of D3 Security is 1.3%, up from 0.5% compared to the previous year. The mindshare of UnderDefense is 0.6%. It is calculated based on PeerSpot user engagement data.
AI-SOC Mindshare Distribution
ProductMindshare (%)
Torq9.4%
UnderDefense0.6%
D3 Security1.3%
Other88.7%
AI-SOC
 

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.
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.
Ivan Voitovych - PeerSpot reviewer
Founder at Urlicer
AI-driven SOC triage has transformed threat monitoring and keeps our security work focused
The best features UnderDefense offers include mostly triage in-context signals read together across my stack, where one finding replaces many separate checks. A good thing too is its false positive suppression, as I do not get false notifications. Normal activity such as traffic spikes during customer events is recognized and documented, and only the unusual cases reach me. It has full-time support 24/7 with proactive reports, and monitoring runs around the clock. Reports and alerts come to me without even noticing or asking, so it is very useful. My team sees what happened without having to chase it. I find the proactive reporting and 24/7 support to have definitely made a real difference. Proactive reports mean I hear about what happened without having to ask, so I know the state of things at the start of the day, and 24/7 support matters most for traffic spikes and other events outside busy working hours, as I get an answer when I need one without keeping someone on call just in case, saving me a lot of time. Together, they let my team stay on infrastructure work and step in only when a decision is needed. Regarding UnderDefense's AI capabilities, I think the governance and security is the best there is, as the decisions that matter stay with my team and each finding is documented, allowing me to review afterwards how a conclusion was reached. That control and traceability is what I need from AI in a security role. The accuracy and reliability of UnderDefense's AI output is accurate and steady, as findings have matched what I saw when I checked them, and the pattern assessments are consistent, especially during large traffic events or spikes, which is when I depend on them most. When a case needs judgment, the reasoning is there so I can confirm it myself.

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."
"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."
"As an analyst, it has demonstrated potential to reduce workforce requirements and time needed for related activities."
"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."
"According to positive outcomes, Torq reduced manual work and made incident response more efficient."
"Torq's unified platform approach to AI, SOAR, automation, and case management is superior compared to my experience managing multiple point solutions."
"What I appreciate most about Torq is that it is an essential part of our system."
"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."
"UnderDefense Gen AI SOC flags behavior that breaks from an account's own baseline, lays out which signals triggered the alert and why it reads as different from normal activity, and helps our team decide within the same day whether we are seeing a legitimate big campaign push or a compromised login."
"Every morning we look at a short list of cases that matter instead of a long list of raw alerts, and each case comes with the full picture, so we can decide in a few minutes whether it needs action."
"UnderDefense groups it into one alert with the caller, the endpoint, and the usual pattern, which allows us to contact the customer the same day with facts in hand."
"Routine signals are handled and documented, and only cases that need a human decision reach my team, allowing engineers to spend their time on infrastructure hardening instead of log digging."
"The linking, the filtering, and the readable reasoning each help on their own, but together, they allow a small security team to handle the volume our platform produces without losing sight of the cases that matter."
 

Cons

"Torq can probably use more ML and look at what can be closed and what cannot be closed in terms of data classification."
"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 case management piece, due to the platform being an automation-first tool, lacks real robust out-of-the-box case templates or good solutions for creating those without spending a lot of time doing development work, which makes the overall experience poor, honestly."
"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."
"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."
"Regarding stability, I have noticed some lagging, crashing, and downtime, which is one of my largest gripes."
"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 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."
"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."
"UnderDefense could improve in onboarding, which takes some dedicated time because the baseline for our high volume upload events needs to be set up first."
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Top Industries

By visitors reading reviews
Financial Services Firm
11%
Outsourcing Company
11%
Comms Service Provider
11%
Manufacturing Company
10%
Comms Service Provider
26%
Computer Software Company
12%
Outsourcing Company
12%
Construction Company
9%
Manufacturing Company
39%
Construction Company
13%
Security Firm
11%
Outsourcing Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise7
Large Enterprise13
No data available
No data available
 

Questions from the Community

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 ...
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...
Ask a question
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What is your primary use case for UnderDefense?
Our main use case for UnderDefense Agentic AI SOC is to watch how accounts actually use our platform. Our product is ...
What is your experience regarding pricing and costs for UnderDefense?
The experience with pricing, setup cost, and licensing has been fair for what we get. Compared with building the same...
What needs improvement with UnderDefense?
UnderDefense could improve in onboarding, which takes some dedicated time because the baseline for our high volume up...
 

Interactive Demo

Demo not available
 

Overview

 

Sample Customers

Information Not Available
S&P Global, Scotiabank, Cybereason, Cummins
Kyte, Betsson Grourp, Mammut, Accedian.
Find out what your peers are saying about Torq, Anvilogic, SentinelOne and others in AI-SOC. Updated: October 2026.
921,523 professionals have used our research since 2012.