by Robert Harris • 3 minutes • Company News, Machine learning • August 19, 2024
Feedzai’s AI Technology Earns Industry Recognition by Chartis
All expertise and insights are from human Feedzians, but we may leverage AI to enhance phrasing or efficiency. Welcome to the future.
Feedzai, the world’s first RiskOps platform, has secured a pair of critical recognitions by Chartis research. We are honored to be recognized as the top AI-driven anti-fraud platform. Feedzai also ranked in the top 5 on the overall AI list in the esteemed RiskTech AI 50 2024 ranking.
These latest recognitions highlight Feedzai’s groundbreaking contributions to artificial intelligence and machine learning for enhanced financial risk management. As an AI-first organization, our risk technology is built to be highly responsive to new fraud and scam patterns.
Feedzai Places in Top 5 in RiskTech AI 50 2024 Report
It’s an honor and a privilege to be recognized as the top AI-driven anti-fraud platform in the Chartis Research RiskTech AI 50 2024 report. This recognition highlights our commitment to helping the financial sector by providing real-time fraud detection and prevention that delivers unmatched accuracy using cutting-edge AI and machine learning technology.
We are equally honored to rank #4 overall in AI, especially in a competitive industry. This ranking highlights Feedzai’s unique approach and contribution to fighting fraud and financial crime.
Leading Financial Services with an AI-first Mindset
This recognition is the result of Feedzai’s AI-first origins. Since our inception, we’ve built our technology with AI at its core, not as an afterthought. From Day 1, our platform has been designed with flexible, responsible, and well-governed AI models that set us apart in fraud and financial crime prevention.
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Many mature legacy systems were initially built long before AI and machine learning became prevalent. They operate using rules-only models and require re-engineering to integrate machine learning effectively, resulting in increased complexity.
Rules-based systems are still effective for long-standing fraud patterns such as account takeover attacks or card-not-present fraud. However, these systems often struggle to address more nuanced fraud typologies like authorized push payment fraud and scams. Legacy systems also struggle to support various use cases without compromising their original design during their AI adoption efforts.
Understanding customer behavior is increasingly important as this activity is highly complex and individualized. Rules alone struggle to address more nuanced fraud situations, such as purchase scams or elder fraud incidents.
Several patented technologies underpin Feedzai’s technology, which is designed for a single purpose: fraud and financial crime prevention. We recognize that model-building in data science is a highly complex field. Our AutoML solution sits at the heart of our technology, enabling machine learning models to be deployed in days instead of weeks or even months.
Further Honors for Feedzai’s Game-Changing AI Technology
This recognition from Chartis Research is further evidence of our commitment to keeping commerce and financial services safe using AI and machine learning. It’s also the latest in a series of recognitions that confirm our position as a market leader in fraud prevention.
We were recently named a Leader in the 2024 IDC Worldwide Enterprise Fraud Solutions 2024 Vendor Assessment. The IDC MarketScape report noted that our solution is “designed to be omnichannel, enabling its fraud solution to monitor different customer interaction methods. Feedzai utilizes real-time customer interaction and transaction data to increase accuracy and improve the customer experience.”
Additionally, we were also recently named a Leading Contender in Datos Insights’ Behavioral Biometrics Market Analysis for our groundbreaking work in behavioral biometrics and device fingerprinting. Our biometrics solution was also recognized in the SPARK Matrix™: Behavioral Biometrics, 2023 report from Quadrant Solutions.