JPMorgan spends AI generated Account Confidence Score for Corporate Payments

Editorial

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The use of over 15 billion JPMorgan payments -transaction records are evaluated in several dimensions, including age, topicality, location, payment history, acquaintance, fraud, payment frequency and links.

The score is generated by a AI-based machine learning model, which evaluates the favorite accounts on a scale of zero, which indicates the lowest trust in 1,000, which indicates the highest trust.

Customers receive a red, amber -colored, environmentally friendly status, which is aligned with the score to display risks and enable potential measures such as additional ratings and tips to prevent frequent security threats such as e -mail compromises, fraud calculation fraud, invoice fraud and account transfer.

Greg Hodges, head of trust and security at JPmorgan Payment, says: “The account of the commitment to provide our customers with the right instruments and solutions in order to navigate the constantly developing complexity of the landscape of digital payments, especially since companies are exposed to unexpected threats.”