Business
Marqeta Delivers AI-Driven Risk Decisioning to Enhance Real-Time Fraud Prevention
NEWS HIGHLIGHTS: Marqeta enhances its Real-Time Decisioning (RTD) offering with an AI-powered risk score that enables customers to prevent payment fraud

About this update from Marqeta, Inc.
[{"type":"text","content":"\nNEWS HIGHLIGHTS:\n\n\n\nMarqeta enhances its Real-Time Decisioning (RTD) offering with an AI-powered risk score that enables customers to prevent payment fraud while reducing false declines.\n\n\n\nTrained on Marqeta transaction data, the offering strengthens Marqeta’s suite of risk services that protects against fraud at every stage of the cardholder journey.\n\n\n\nMarqeta continues to enable innovation with the unique capabilities of its comprehensive modern card issuing platform.\n\n\n\n OAKLAND, Calif.--(BUSINESS WIRE)--\nMarqeta, Inc. (NASDAQ: MQ), the modern card issuing platform, today announced it enhanced its Real-Time Decisioning (RTD) offering with an AI-powered risk score that analyzes transaction risk levels at the point of the authorization decision. With the new integrated capabilities, Marqeta enables its customers to make smarter, data-driven risk assessments to prevent payment fraud and reduce false declines. Part of its suite of risk services, the company’s RTD offering allows customers to create custom rules and controls to manage fraud.\n\n\nThe risk score is integrated into Marqeta’s platform, analyzing proprietary transaction data from its card programs to detect risk patterns specific to each customer’s use cases. The score evaluates 300+ real-time transaction attributes against historical behavioral patterns, automatically adapting to unique cardholder behaviors and market shifts. This enables customers to assess each transaction’s risk level, take immediate action, and run risk scenarios that are based on their actual cardholder data–all with millisecond-level response times.\n\n\nPayment fraud is getting more sophisticated, with global payment fraud expected to rise by 153% between 2025 and 20301. With this level of sophistication, fraud detection models need to be able to detect new fraud patterns and stay ahead of developing threats. Marqeta addresses this challenge by combining its RTD authorization rules with the predictive power of machine learning in order to continuously identify new fraud patterns and fight against emerging threats.\n\n\n“Today’s fraud threats are evolving faster than ever, requiring businesses to keep pace as they scale their card programs,” said Anthony Peculic, Marqeta’s Interim Chief Product Officer. “By embedding AI-powered controls and advanced machine learning into th...