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Cequence Security vs Traceable AI comparison

 

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

Cequence Security
Ranking in API Security
6th
Average Rating
10.0
Reviews Sentiment
7.0
Number of Reviews
2
Ranking in other categories
Application Security Tools (24th), Bot Management (7th)
Traceable AI
Ranking in API Security
11th
Average Rating
7.0
Reviews Sentiment
6.3
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2026, in the API Security category, the mindshare of Cequence Security is 4.9%, down from 9.1% compared to the previous year. The mindshare of Traceable AI is 3.0%, down from 6.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
API Security Mindshare Distribution
ProductMindshare (%)
Cequence Security4.9%
Traceable AI3.0%
Other92.1%
API Security
 

Featured Reviews

Paulo Estevao - PeerSpot reviewer
Lead Sales Engineer at e-Safer
Comprehensive API discovery has enabled us to block bots in real time and improve compliance reporting
Cequence Security can continue evaluating and evolving the machine learning and the AI that they have because attackers are using more AI, making it faster to learn how to attack APIs and business logic. When Cequence Security invests in their AI, they will provide quicker protection that our customers need, and the way that attackers think can be translated into security measures on Cequence Security workflows and baseline. They need to improve faster in the AI environment because the possibility of attackers is growing, which is something that must be improved continuously as we need quicker releases since the market demands it. Regarding accuracy and reliability, the AI has a baselining that allows it to learn from attacks, but it needs to improve more because in the Brazilian market, we have a creative environment for attackers who are familiar with the business logic of our customers, making it easier for them to imitate legitimate users during attacks. Thus, they need to enhance behavior analysis to differentiate themselves from all other products on the market. Latency can be a significant issue in bigger environments, especially since the architecture requires uninterrupted traffic to ensure customers can finish transactions. The defender component managing inline traffic holds all traffic and has mechanisms to control latency, allowing fallback during high-risk situations, but the sensor used for mirroring traffic is outdated and does not work properly.
DipanjanDhar - PeerSpot reviewer
Software Quality Assurance Specialist at a energy/utilities company with 10,001+ employees
Improved API data protection and threat detection have reduced manual work but reporting still needs refinement
The documents for the initial setup are very limited, making us rely heavily on the vendor to install the setup, which can be costly. Each license costs a lot for our organization, and while we placed a few licenses in a confidential project, using it broadly requires more licenses, which is not financially feasible. Proper training is also crucial; we spent around two and a half years in a UAT environment to train the AI to understand our organization's policies before deploying it in production. While this approach has worked smoothly, we identified a need for better and more user-friendly reporting. If we discuss national IDs, different countries have different national ID formats. Whenever we install Traceable AI, we need to inject our own configurations for the national IDs of various countries. If they use a real-time social security number or national ID sites in the future, it would be easier for us if the process were more flexible.

Quotes from Members

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

Pros

"It uses machine learning algorithms to detect attacks and manage API inventory."
"Cequence Security has positively impacted our organization by giving us a lot of visibility from the market point of view since it competes with much bigger companies such as Akamai, Salt, and Imperva."
"We have seen a return on investment from Traceable AI due to improvements in accuracy and security, as it enhances our legal processes, reduces human intervention, and has shortened the time spent gathering data from three to four weeks to one to two days, which translates into direct and indirect benefits."
 

Cons

"It is expensive."
"Latency can be a significant issue in bigger environments, especially since the architecture requires uninterrupted traffic to ensure customers can finish transactions."
"The documents for the initial setup are very limited, making us rely heavily on the vendor to install the setup, which can be costly."
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Top Industries

By visitors reading reviews
Financial Services Firm
23%
Manufacturing Company
9%
Computer Software Company
9%
Comms Service Provider
6%
Financial Services Firm
18%
Computer Software Company
10%
Outsourcing Company
8%
Non Profit
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

What needs improvement with Cequence Security?
Cequence Security can continue evaluating and evolving the machine learning and the AI that they have because attackers are using more AI, making it faster to learn how to attack APIs and business ...
What is your primary use case for Cequence Security?
My main use case for Cequence Security is that my company is an integrator for Cequence Security, so we deliver this product to our customers in financial, banking, healthcare, and other sectors. A...
What advice do you have for others considering Cequence Security?
I can give Cequence Security a rating of 10 because this product genuinely makes a difference for our customers, and they do not need to lock in to Akamai does, which is significant for our custome...
What needs improvement with Traceable AI?
Traceable AI can be improved on various platforms. It is a strong API security platform but there are areas for improvement such as AI explanations for why a request was flagged, more out-of-the-bo...
What is your primary use case for Traceable AI?
Traceable AI is implemented for integration and API security where we can use various benefits. We are building .NET microservices exposing REST APIs to web and mobile clients. As the number of API...
What advice do you have for others considering Traceable AI?
Traceable AI supports enterprise workloads and can scale to large API ecosystems. However, achieving that scale required proper infrastructure planning, policy management, and ongoing tuning. It is...
 

Also Known As

Cequence ASP, Cequence Unified API Protection Platform
No data available
 

Overview

 

Sample Customers

T-Mobile, Lbrands, Ulta Beauty
Bullish, Bluevolt, Canon, Ethos, FalconX, Houzwer, Jobvite, Outreach 
Find out what your peers are saying about Imperva, Orca Security, Akamai and others in API Security. Updated: August 2026.
908,834 professionals have used our research since 2012.