Feedzai's New Account Fraud solution prevents fraud during the account creation process by identifying high-risk behaviors and profiles. The platform uses advanced analytics and machine learning to detect anomalies in real-time, stopping fraudulent attempts before they impact operations. This solution integrates effortlessly with onboarding workflows, ensuring security while maintaining a positive user experience. Feedzai's New Account Fraud helps businesses protect their revenues, maintain trust, and reduce fraud-related risks.
Feedzai is a data science company that develops real-time machine learning tools to identify fraudulent payment transactions and minimize risk in the financial services, retail, and e-commerce industries. Founded in 2011 by Nuno Sebastião, Pedro Bizarro, and Paulo Marques, Feedzai is headquartered in Coimbra, Portugal, with its U.S. headquarters in San Mateo, California. The company's core offering is an AI-powered ‘RiskOps’ platform which helps financial institutions to detect, prevent, and manage financial crime while achieving regulatory compliance. Feedzai's solutions cover various aspects of financial security, including: - Account opening and takeover prevention - AML transaction monitoring - KYC/Customer due diligence - Transaction fraud detection - Watchlist screening Feedzai has achieved significant milestones in its growth and is now a well known brand in this space. It became a unicorn startup in 2021, valued at over $1 billion after a Series D funding round. Feedzai's AI analyzes over 3000 payment transactions per second and the platform processes 59 billion events per year and secures nearly $6 trillion in payments annually.
Founded: 2011
Example Customers: ABN Amro, Santander, Fiserv, Standard Chartered
Visit Vendor WebsiteAwarded By: Chartis
Topic: RiskTech AI 50 2024
Date: July 24, 2024
Learn MoreAwarded By: Chartis
Topic: Financial Crime and Compliance 50
Date: March 14, 2024
Learn MoreAwarded By: Chartis
Topic: RiskTech 100
Date: July 24, 2024
Learn MoreRanked By: Forrester
Topic: Enterprise Fraud Management Solutions, Q2 2024
Date: June 05, 2024
Learn MoreRanked By: Chartis
Topic: Financial Crime and Compliance 50
Date: March 14, 2024
Learn MoreRanked By: IDC
Topic: Worldwide Enterprise Fraud Solutions 2024
Date: March 01, 2024
Learn MoreRanked By: Chartis
Topic: RiskTech AI 50 2024
Date: July 24, 2024
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