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Blink Ops vs UnderDefense comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Nov 9, 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
Blink Ops
Ranking in AI-SOC
6th
Ranking in AI-Powered Security Automation
5th
Average Rating
7.6
Reviews Sentiment
4.4
Number of Reviews
2
Ranking in other categories
Security Orchestration Automation and Response (SOAR) (18th)
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 Blink Ops is 4.5%, up from 4.3% 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%
Blink Ops4.5%
UnderDefense0.6%
Other85.5%
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.
AH
CEO at cybovate
Workflow automation has transformed SOC decisions and now manages security workload effectively
At the moment, I have no idea what an improvement can be because my feeling is Blink Ops can be deployed on-site in a hybrid mode or in the cloud. Hybrid mode means more or less the cloud environment running within the cloud. In Switzerland, I have seen quite a few clients where discussions happened and they said they do not want to go to cloud and want to run it on-premises. But the solution is just too big to run on-premises. Having a smaller version on-premises would be helpful, but my feeling is that is hard to achieve because the solution is just too big and too diverse to run on-premises. The other thing is also the support model. Support models normally work if platforms are accessible from outside, but if I need to go within the company and do some modifications on the platform within the company, it is normally just time-consuming. This limits some of the use cases in some clients if they say, okay, we are a nuclear power plant and we do not want anyone coming from outside. At the moment, nothing else comes to my mind because I would say Blink Ops is a comprehensive platform and sometimes I feel people are overwhelmed. Maybe one thing I have had twice now, and I am not sure if this would be a Blink Ops topic or also one of the competitors. On CRM platforms, if someone changes from one CRM platform to the other CRM platform, there are always converters. From one music platform to the other music platform, there are converters. I think that is quite often missing. People struggle and said they had an automation platform or quite often they have seven or several automation platforms and say they want to reduce to, for example, two different platforms and want to get rid of the other ones. But then sometimes it is quite often a redevelopment, especially if it was a no-coding platform and everything is in code. Then normally it requires a huge transformation project. I think really helping the clients understand what the other platform does and then maybe on this level, just having the wizard would be fine. But my feeling is that migrating from one platform to the other is quite difficult.
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

"With Torq, I automate actions while achieving SLA compliance and streamline alert investigation processes much better."
"Torq offers the best feature through integration with AI."
"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."
"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 changed the day-to-day experience for my security analysts and me by saving literally thousands of man-hours per month since we have implemented some of these use cases."
"Any request that comes in, regardless of how complex it is, I can accomplish it with Torq."
"Torq's unified platform approach to AI, SOAR, automation, and case management is superior compared to my experience managing multiple point solutions."
"The automation and integration capabilities are strong."
"I really appreciate the accuracy of prompt engineering and the GUI that Blink offers, as it allows us to evaluate before testing exactly how the workflow will look."
"I would say Blink Ops has probably the best technical support of all my vendors."
"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."
"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."
"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."
 

Cons

"Torq can probably use more ML and look at what can be closed and what cannot be closed in terms of data classification."
"I would not say I have seen significant improvement on investment, but I will definitely say analyst productivity has improved."
"We have MCP that we are working with our cloud security platform, and we wanted to connect this MCP to the case management."
"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."
"Regarding the pricing of Torq, I would say it is expensive."
"There are some issues and bugs that I think need to be fixed, but they are currently not focused on it."
"The initial deployment of Torq was not easy."
"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."
"The current LLM in Blink is quite accurate, but it still requires a lot of optimization because after a few prompts, it starts creating random responses, which sometimes is problematic."
"At the moment, nothing else comes to my mind because I would say Blink Ops is a comprehensive platform and sometimes I feel people are overwhelmed."
"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%
Manufacturing Company
19%
Outsourcing Company
11%
Insurance Company
10%
Financial Services Firm
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...
What needs improvement with Blink Ops?
At the moment, I have no idea what an improvement can be because my feeling is Blink Ops can be deployed on-site in a...
What is your primary use case for Blink Ops?
I have several use cases rather than a single one. When we start engagements, it is often for the SOC team on the SOA...
What advice do you have for others considering Blink Ops?
I would say also on automation, there is a need to have the least privilege or a zero trust approach because the agen...
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
Demo not available
 

Overview

 

Sample Customers

Information Not Available
Information Not Available
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.