Payment Service Providers

Protect Your Payment Channels Against Diverse Fraud Risks 

Facilitate diverse payment types and reduce operational costs – all while detecting fraud in real-time.

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Secure Every Payment and Build Trust with Purpose-Built AI

Accelerate payment acceptance and reduce fraud losses with unified AI risk protection that secures all payment types in real time.

Trusted by global financial leaders

Results at a Major Payment Provider

114% improvement in fraud detection

50% reduction in false positive alerts

60% coverage achieved for Australian financial institutions upon NPP’s launch

Improve Payment Adoption and Customer Experiences

Secure payment channels for customers, including cards, transfers, account-to-account, real-time rails, and more. Feedzai aggregates omnichannel fraud risk signals in one place to ensure genuine customers are protected while fraudsters are detected.

Combat Diverse Fraud Threats

Leverage out-of-the-box risk strategies to identify card fraud, account takeovers, scams, money mules, and more on one comprehensive platform. With Feedzai, both rules and machine learning models are available from day one to optimize detection and reduce fraud losses.

Increase Agility Against New Threats

Utilize self-service tools to build, test, and deploy both rules and models as new threats arise. Feedzai’s Data Science Studio democratizes machine learning, empowering fraud teams to autonomously manage their fraud and financial crime risk strategy.

Feedzai Named a Leader in All Payment Categories: Card, Account to Account, and Alternative Payments

“Feedzai’s heritage, solution focus, and RiskOps platform enable it to deliver a combination of risk solutions – notably for AML and fraud – at scale and speed across a myriad of payment types and use cases, reflecting the needs of the market highlighted by our research.”

– Chartis

See Why Feedzai Was Named a Payment Risk Leader

Page printed in May 5, 2026. Plase see https://www.feedzai.com/industries/payment-service-providers for the latest version.