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Blink Ops vs Charlotte AI 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

Torq
Sponsored
Ranking in AI-SOC
1st
Average Rating
8.8
Reviews Sentiment
6.6
Number of Reviews
20
Ranking in other categories
AI-Powered Security Automation (1st)
Blink Ops
Ranking in AI-SOC
6th
Average Rating
7.6
Reviews Sentiment
4.4
Number of Reviews
2
Ranking in other categories
Security Orchestration Automation and Response (SOAR) (18th), AI-Powered Security Automation (4th)
Charlotte AI
Ranking in AI-SOC
8th
Average Rating
7.8
Reviews Sentiment
7.6
Number of Reviews
4
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2026, in the AI-SOC category, the mindshare of Torq is 9.5%, up from 4.8% compared to the previous year. The mindshare of Blink Ops is 4.6%, down from 4.8% compared to the previous year. The mindshare of Charlotte AI is 2.1%, down from 5.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI-SOC Mindshare Distribution
ProductMindshare (%)
Torq9.5%
Blink Ops4.6%
Charlotte AI2.1%
Other83.8%
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.
reviewer2636034 - PeerSpot reviewer
System Architect at a university with 501-1,000 employees
AI assistant has transformed log analysis and now speeds threat investigations for our team
Charlotte AI could be improved by allowing us to upload a nice report from PowerPoint or Excel, just as other AI models do. The details they give us are so good, but right now it is all text-based, and I have to copy it and format it. I would like it to be formatted into an executive-level review or initial review, so we don't have to spend additional time formatting it. It would just be easier to present the output and what we found out without spending another hour improving how the report looks because it is not clean right now when it outputs it.

Quotes from Members

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

Pros

"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."
"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."
"Almost four or five hours of work is now completed in four or five minutes."
"If I review about 100 vendors that I might work with, Torq is definitely in the top five that gave me personally investment back, just because every bit of effort I put into Torq eventually became a workflow that gave it back to me."
"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."
"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."
"One of the workflows I manage with Torq looks good and provides faster response, saving time and resulting in happy clients."
"I would say Blink Ops has probably the best technical support of all my vendors."
"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."
"Charlotte AI has changed the way my security team investigates and responds to threats by making us faster than a speeding bullet."
"Charlotte AI has helped my team reduce investigation time, shortened the time to get answers, and directs me exactly where to go whenever I get lost in the application or need more information quickly."
"Charlotte AI has changed the way my security team investigates and responds to threats by providing valuable insights in quick succession, allowing us to verify what it has found and then move forward to determine whether something was malicious or benign."
"Charlotte AI's natural language capabilities are very good for analysts with different levels of security expertise because even if they don't have technical knowledge, it reads out what happened in a simple manner."
 

Cons

"Regarding stability, I have noticed some lagging, crashing, and downtime, which is one of my largest gripes."
"We have MCP that we are working with our cloud security platform, and we wanted to connect this MCP to the case management."
"If Torq could enhance its AI features, it would benefit customers significantly by making the platform even more user-friendly."
"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."
"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."
"Torq does extensive marketing saying that SOAR is dead and markets itself as an all-in-one solution, but this is not actually true."
"Torq can probably use more ML and look at what can be closed and what cannot be closed in terms of data classification."
"There are some issues and bugs that I think need to be fixed, but they are currently not focused on it."
"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."
"In assessing the stability and reliability of Charlotte AI, I would probably give it three and a half out of five stars, as sometimes it does sit there thinking for a very long time, and then I have to come back to it later or sign off, sign back in, and try it again."
"I need to be specific and provide more technical details so it will give the right answer."
"Charlotte AI could be improved by allowing us to upload a nice report from PowerPoint or Excel, just as other AI models do."
"Regarding the responses and recommendations Charlotte AI provides, I have approximately twenty percent confidence in them."
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Top Industries

By visitors reading reviews
Outsourcing Company
12%
Financial Services Firm
11%
Comms Service Provider
10%
Manufacturing Company
9%
Manufacturing Company
17%
Insurance Company
11%
Outsourcing Company
11%
Financial Services Firm
10%
Outsourcing Company
12%
Government
11%
Manufacturing Company
11%
Construction Company
8%
 

Company Size

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

Questions from the Community

What needs improvement with Torq?
There are some bugs in Torq, of course. They can be present in data transformation, some UI debugging, and other area...
What is your primary use case for Torq?
My main use case for Torq is the automation of cyber security processes through a SOAR platform and APIs. A main exam...
What advice do you have for others considering Torq?
Regarding someone thinking about using Torq, I recommend looking into their provided academy to start working with th...
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 needs improvement with Charlotte AI?
Regarding the responses and recommendations Charlotte AI provides, I have approximately twenty percent confidence in ...
What is your primary use case for Charlotte AI?
I primarily use Charlotte AI for the capability that provides explanations for detections. I prefer this feature spec...
What advice do you have for others considering Charlotte AI?
Charlotte AI has not changed the way my security team investigates or responds to threats; it simply makes the proces...
 

Comparisons

 

Overview

Find out what your peers are saying about Blink Ops vs. Charlotte AI and other solutions. Updated: September 2026.
915,341 professionals have used our research since 2012.