---
title: "Finance | 71% of Financial Institutions Use AI Against Instant-Payment Fraud"
author: "Unique Research"
sourcePublication: "Unique Research (FFCAP English library)"
originalPublishedAt: "2024-12-04T19:49:52+08:00"
canonical: "https://ffcap.cn/en/research/20241204a0923s00"
source: "https://ffcap.cn/en/research/20241204a0923s00"
language: "en"
cnSourceUrl: "https://view.inews.qq.com/a/20241204A0923S00"
---

# Finance | 71% of Financial Institutions Use AI Against Instant-Payment Fraud

_Unique Research · Finance · December 4, 2024_

Demand for fast payments keeps rising — and so does fraud risk. Last year, 170M+ U.S. consumers received at least one instant payment.

PYMNTS Intelligence with Ingo Payments (_Protecting Instant Payments from Fraud_): speed creates new challenges — once funds move, recovery is hard. Financial institutions (FIs) are adopting advanced AI and machine learning to fight fraud and harden instant rails.

## Instant-payment vulnerabilities

Instant payments are becoming table stakes: **78%** of FIs and businesses call them essential. FedNow®, The Clearing House RTP®, and Zelle are favored; nearly **90%** of FIs plan to adopt or already offer them. Irreversibility makes post-fraud recovery nearly impossible. Attackers use social engineering and account takeover (ATO). In 2023, **27%** of firms using real-time payments reported more fraud — vs. 13% in 2020. Detection must be near-real-time.

## Fighting fraud with AI/ML

**71%** of FIs now use AI/ML for fraud detection (up from 66% in 2023) — analyzing huge transaction sets in real time, flagging suspicious behavior, blocking before settlement; catching patterns humans miss. ATO is **52%** of instant-payment fraud cases; AI/ML adapt as tactics evolve.

## Third-party solutions

Benefits exist, but expertise and resources are scarce. **48%** of fraud-prevention tech is built in-house — yet only **14%** of FIs can build AI/ML solutions internally. By 2025, **70%** of FIs will rely on third-party AI fraud tools. Form3 and Feedzai are advancing: in the UK they partnered on authorized push payment (APP) fraud detection by analyzing sender/receiver behavior differences — a case for external tech against real-time fraud.

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Editorial English edition published on UniqueCapital: https://ffcap.cn/en/research/20241204a0923s00
On-site reading page: https://ffcap.cn/en/research/20241204a0923s00
