( 20 May 2025 – United States) JPMorgan Payments has introduced an AI-driven Account Confidence Score (ACS) aimed at helping corporate treasurers assess fraud risk before executing payments.
The tool draws from more than 15 billion payment records within JPMorgan’s network to evaluate beneficiary accounts based on factors such as transaction history, account age, location, fraud patterns, and inter-account linkages.
Powered by a machine learning model, ACS generates a score from 0 to 1,000, indicating the level of trustworthiness, and provides clients with a simple Red, Amber, or Green risk rating, along with tailored advice on additional security checks.
Common fraud risks such as business email compromise, payroll fraud, invoice scams, and account takeovers, are specifically targeted by the system’s preventative recommendations.
Greg Hodges, Head of Trust and Safety at JPMorgan Payments, commented: “The Account Confidence Score underscores our commitment to equipping our clients with the right tools and solutions to navigate the ever-evolving complexities of the digital payments landscape, especially as businesses face unprecedented fraud threats.”
The initiative is part of JPMorgan’s broader push to integrate artificial intelligence and advanced data analytics into treasury services, enhancing payment security and trust in a high-risk environment.