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Market Presence: Fraud Detection in Banking Payments, Online Fraud Detection

Overview

Product Information on Feedzai

Updated 1st April 2026

What is Feedzai?

Feedzai’s RiskOps platform is an end-to-end, AI-native solution designed for banks and PSPs to mitigate risk across the entire user journey. Rather than analyzing isolated transactions, Feedzai stitches together full user context—including login history, devices, and timing—to build a continuously updated profile of every individual. Key Platform Strengths: Operational Control: Manage risk strategies in-house, adapting models and workflows without relying on vendor release cycles or external support. Data Integration: Use unbounded feature windows to combine internal bank data with third-party sources. Scalable Growth: Start with targeted tools like behavioral biometrics and scale into full transaction decisioning. Trusted by the world’s largest financial institutions, Feedzai solves complex challenges from synthetic ID's, scams and mules to card fraud. This RiskOps approach creates a compounding effect: the more connected the ecosystem, the stronger the security outcomes.

Feedzai Pricing

Feedzai employs a pricing model based on tailored solutions, with costs varying according to organization size, transaction volume, and specific deployment requirements. The software typically offers enterprise-level pricing arrangements that are customized to client needs, often involving annual or multi-year contracts rather than standard published rates.

Overall experience with Feedzai

IT Manager
250M - 500M USD, Banking
FAVORABLE

“Feedzai has delivered on what has been promised with their SAAS service, and through this partnership has been able to grow.”

5.0
Apr 22, 2026
Feedzai has provided a strong partnership with us for many years, and over that time the partnership has grown stronger with new product launches, new clients and overall growth in volume and revenue. The system has delivered on the business value for us and our clients, has been stable, scalable and Feedzai has been able to modify their system to meet our business needs when requested.
There are no reviews in this category.
CRITICAL

Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

Peer Discussions

Recommended Gartner Insights

  • Market Guide for Fraud Detection in Banking Payments

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Feedzai

byFeedzai
in
4.5

About Company

Company Description

Updated 1st April 2026

Feedzai is dedicated to building a world of safer money by providing the latest fraud and financial crime prevention technology. As the global economy shifts toward real-time, digital-first transactions, Feedzai provides the solutions to protect payments and financial events while ensuring a frictionless experience for legitimate consumers. Feedzai’s AI-native RiskOps platform enables banks, PSPs and payment networks to combat fraud across the full customer lifecycle, from onboarding to payments. The platform analyzes over $9T in payments across 120B events annually; in 2025 alone, it stopped over $1 billion in fraud attempts. Using purpose-built AI and full contextual intelligence, ensures institutions detect complex threats earlier, reduce false positives, and adapt to evolving attacks. Feedzai works directly with financial institutions and through global partners like PwC, AWS, and Mastercard to bring enterprise-grade protection to hundreds of organizations of all sizes.

Company Details

Updated 1st April 2026
Company type
Private
Year Founded
2011
Head office location
San Mateo, United States
Number of employees
501 - 1000
Website
https://feedzai.com/

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Reviewer Insights for: Feedzai

Feedzai Likes & Dislikes

Like

System Stability, auto scalability for growing volume, active relationship management and enhancements by the vendor.

Like

The results it delivers. It saves us millions per annum.

Like

Real-time transaction processing Ability to have a separate Data Science environment that connects to production data. Cross channel monitoring and real-time historical analysis capability

Dislike

Price could be more competitive

Dislike

The hosting costs aren't what we want them to be - we need to reduce those.

Dislike

Does not integrate with Git or has version control features.

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Feedzai Reviews and Ratings

Showing data for 4 ratings and reviews for Fraud Detection in Banking Payments market. View all 6 ratings and reviews across markets for a complete picture.

4.5

(4 Ratings)

Rating Distribution

5 Star
50%
4 Star
50%
3 Star
0%
2 Star
0%
1 Star
0%
Why ratings and reviews count differ?

Customer Experience

Evaluation & Contracting

4.3

Integration & Deployment

4.7

Service & Support

4.3

Product Capabilities

4.8

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  • IT Manager
    50M-1B USD
    Banking
    Review Source

    Feedzai has delivered on what has been promised with their SAAS service, and through this partnership has been able to grow.

    5.0
    Apr 21, 2026
    Feedzai has provided a strong partnership with us for many years, and over that time the partnership has grown stronger with new product launches, new clients and overall growth in volume and revenue. The system has delivered on the business value for us and our clients, has been stable, scalable and Feedzai has been able to modify their system to meet our business needs when requested.
  • VP
    1B-10B USD
    Banking
    Review Source

    Significant Savings Achieved - helped us become a market leader

    5.0
    Apr 20, 2026
    Top notch product output. In the scale fraud space it is the performance that matters most.
  • Data and Analytics Manager
    50M-1B USD
    Banking
    Review Source

    System Supports Real-Time Fraud Detection with Dedicated Data Science Environment

    4.0
    Apr 13, 2026
    Stable system which enable real-time fraud detection of transactions.
  • Director of Strategy
    10B+ USD
    Banking
    Review Source

    Prevenção a fraude da Feedzai oferece diversas funcionalidades e ampla aplicabilidade

    4.0
    Apr 17, 2026
    A solução de prevenção a fraude da Feedzai é muito dinâmica, proporcionando uma gama gigantesca de possibilidades em seu uso e aplicabilidade na prevenção a fraude.
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