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D3 Security vs Purple 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)
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)
Purple AI
Ranking in AI-SOC
4th
Average Rating
8.4
Reviews Sentiment
5.9
Number of Reviews
6
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 D3 Security is 1.1%, up from 0.4% compared to the previous year. The mindshare of Purple AI is 2.3%, down from 5.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI-SOC Mindshare Distribution
ProductMindshare (%)
Torq9.5%
Purple AI2.3%
D3 Security1.1%
Other87.1%
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.
GANESAN K - PeerSpot reviewer
Senior Technical Engineer at Safezone Secure Solutions Private Limited
Automated threat hunting has reduced investigation time and now improves incident visibility
We have not tested in that manner because when comparing with the competition product CrowdStrike, Purple AI and CrowdStrike are pretty good and more or less equal in the way of responding to a query. On the technical side, I can compare Purple AI with CrowdStrike's threat intelligence. CrowdStrike was initially a breach investigation company and was in the Indian market well before SentinelOne, acquiring more significant ground. We have used Charlotte AI, which is provided by CrowdStrike, the direct competitor of SentinelOne. These two have key differences. Charlotte AI focuses more on IOAs and IOCs, whereas Purple AI helps us query the logs and hunt threats. As an improvement, if SentinelOne could focus on IOA similar to what CrowdStrike is giving, that would be a good point. They could feed information on IOA, such as based on attackers, what different attack groups are performing the attacks, and provide those insights. Compared to its competition, for doing DFIR (Digital Forensics and Incident Response), not only IOCs are needed but also IOAs. Information about the indication of the attacker, who is attacking, and the attacker group history would be better if Purple AI could incorporate that. We can build some queries and automated responses for any suspicious or malicious conditions. It would be better if there were workflows in place for giving alerts. The way alerts are handled could be improved because when compared to other competing products, I am able to handle the technique of the threat and categorize it based on severity. If it has a major impact on the environment, I can contain the system. I have numerous options to create various kinds of alerts.

Quotes from Members

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

Pros

"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."
"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."
"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."
"Torq offers the best feature through integration with AI."
"Torq has helped a lot regarding SOC analyst efficiency."
"Torq has impacted my organization positively by allowing us to earn time and invest resources in other projects that are more meaningful and more interesting, pushing deeper into what a SOC is, and building our processes."
"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."
"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."
"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."
"Purple AI provides availability and ensures that all threat detection and response are available in a single platform."
"In terms of visibility, Purple AI gives great performance; since it provides much deeper visibility, we are able to respond to an attack in reduced time."
"It has been a very good product."
"Purple AI integrated with threat hunting has helped me a lot in most incident response situations."
"Detection-wise, Purple AI has reduced my investigation and response times by half, approximately fifty percent."
"Purple AI has been integrated with the SentinelOne Singularity tool, and it helps us significantly with security alerts."
"The barrier to entry is lowered significantly, and also the speed is improved."
 

Cons

"We have MCP that we are working with our cloud security platform, and we wanted to connect this MCP to the case management."
"The initial deployment of Torq was not easy."
"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."
"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."
"There are some issues and bugs that I think need to be fixed, but they are currently not focused on it."
"Torq can probably use more ML and look at what can be closed and what cannot be closed in terms of data classification."
"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."
"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 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."
"There are potentially areas that have room for improvement to make Purple AI better, such as comprehension of the questions."
"The only concern related to pricing is the ingestion-based pricing model, which is higher at scale."
"Coming to Purple AI, it is quite good compared to CrowdStrike Charlotte AI. Charlotte AI gives a very good threat overview, whereas Purple AI lacks that."
"There is a significant gap for automation."
"Sometimes Purple AI provides too generic responses for complex alerts, particularly at levels classified as high or critical."
"For SMBs, it is quite expensive."
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Top Industries

By visitors reading reviews
Outsourcing Company
12%
Financial Services Firm
11%
Comms Service Provider
10%
Manufacturing Company
9%
Comms Service Provider
27%
Computer Software Company
12%
Outsourcing Company
12%
Construction Company
9%
Outsourcing Company
12%
Manufacturing Company
11%
Healthcare Company
10%
Comms Service Provider
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise5
Large Enterprise13
No data available
By reviewers
Company SizeCount
Small Business5
Large Enterprise2
 

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...
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What needs improvement with Purple AI?
AI-assisted summary is good, but if we get it in the exact threat module where we investigate all the threats, it wou...
What is your primary use case for Purple AI?
The main use cases I use Purple AI for are building queries, alerts, and Star custom policies. Mostly I use Purple AI...
What advice do you have for others considering Purple AI?
I notice a difference in speed using Purple AI compared to legacy SIEMs such as Sumo Logic; it is fast, taking only a...
 

Comparisons

 

Interactive Demo

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Overview

 

Sample Customers

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