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Charlotte AI vs D3 Security 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)
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
D3 Security
Ranking in AI-SOC
28th
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), AI-Powered Security Automation (5th)
 

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 Charlotte AI is 2.1%, down from 5.1% compared to the previous year. The mindshare of D3 Security is 1.1%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI-SOC Mindshare Distribution
ProductMindshare (%)
Torq9.5%
Charlotte AI2.1%
D3 Security1.1%
Other87.3%
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.
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.
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.

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."
"As an analyst, it has demonstrated potential to reduce workforce requirements and time needed for related activities."
"Once I started to use the system and I saw the potential, it changed all of our work in IT."
"Torq offers the best feature through integration with AI."
"Almost four or five hours of work is now completed in four or five minutes."
"Torq has helped a lot regarding SOC analyst efficiency."
"Torq's unified platform approach to AI, SOAR, automation, and case management is superior compared to my experience managing multiple point solutions."
"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."
"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 making us faster than a speeding bullet."
"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."
 

Cons

"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 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."
"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."
"Even now, we have workflows that are in production that use AI steps and I get different results, making it unusable to some degree."
"Torq can probably use more ML and look at what can be closed and what cannot be closed in terms of data classification."
"If Torq could enhance its AI features, it would benefit customers significantly by making the platform even more user-friendly."
"Regarding the responses and recommendations Charlotte AI provides, I have approximately twenty percent confidence in them."
"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."
"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."
report
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Top Industries

By visitors reading reviews
Outsourcing Company
12%
Financial Services Firm
11%
Comms Service Provider
10%
Manufacturing Company
9%
Outsourcing Company
12%
Government
11%
Manufacturing Company
11%
Construction Company
8%
Comms Service Provider
27%
Computer Software Company
12%
Outsourcing Company
12%
Construction Company
9%
 

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 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...
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Comparisons

 

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Sample Customers

Information Not Available
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S&P Global, Scotiabank, Cybereason, Cummins
Find out what your peers are saying about Charlotte AI vs. D3 Security and other solutions. Updated: September 2026.
915,341 professionals have used our research since 2012.