Payment fraud is a growing concern for both consumers and financial institutions. Left unchecked, fraud erodes trust and undermines the confidence of the financial industry. With the help of machine learning, financial institutions can quantify the level of risk in a transaction using fraud scoring, and prevent payment fraud before it happens. By leveraging first-party and third-party data, such as device intelligence, Fraud Prevention solutions on AWS enhance fraud detection and prevention for financial institutions. The real-time use of data and fraud scoring helps minimize risk for the institution and maximizes trust with the consumer.

Partner Solutions

Software, SaaS, or managed services from AWS Partners

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  • Feedzai

    Leverage Machine Learning/ AI to combat financial crimes.
  • Transaction AI™

    Provides real-time, continuous transaction monitoring for environments processing payments and other financial events. The platform-as-a-service is specifically designed to determine whether payments or other financial transactions are contextually appropriate and fall within your risk parameters.
  • Forter Trust Platform for Digital Commerce

    The Forter Trust Platform applies identity intelligence at every step of the digital commerce journey - filtering out fraud and focusing your business on growing customer lifetime value.
  • SEON Fraud Prevention

    EVERY customer has a fraud challenge. SEON is a leading AI-driven Fraud prevention SaaS platform built on AWS. SEON customers have seen reductions in fraudulent rates of over 90% through a proactive approach, stopping fraud before it can affect revenue streams.
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Guidance

Prescriptive architectural diagrams, sample code, and technical content

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  • Payments Fraud Prevention on AWS

    This Guidance shows how payment service providers can implement a near real-time fraud screening system on AWS by streaming data.
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