Fraud Detection Transaction Limits Volume 
Fintech Finance
APRIL 24, 2025
New research from RedCompass Labs shows that RTP and FedNow’s rising transaction limits are making instant payments significantly more attractive for U.S. 84% of US banks say the new $10 million RTP® limit boosts its attractiveness, and 84% believe raising FedNow’s $500,000 cap will have the same effect.
EBizCharge
JUNE 3, 2025
As businesses grow and transaction volumes increase, the need for a dependable and scalable payment processing solution becomes critical. This article will explore what high-volume merchants are, the key features and benefits they provide, and how EBizCharge helps high-volume merchants thrive in fast-paced, competitive markets.
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The Payments Association
FEBRUARY 10, 2025
Partnering with regional providers, leveraging AI for fraud detection, and conducting regular audits will ensure compliance, transparency, and operational excellence. Firms should continuously monitor transactions at both the master account and individual vIBAN levels to detect anomalies or potential ML/TF patterns.
The Payments Association
JULY 15, 2025
Fraud prevention strategies & technology readiness APP rules implementation strategies Bank limits emerged as the dominant approach to implementing authorised push payment (APP) fraud rules, with three in five organisations (60%) adopting this measure. Economic crime is a societal problem with no deterrence.
The Fintech Times
APRIL 27, 2025
The results, published in a new report, Pushing the Limits: US Instant Payments in 2025, based on responses from 300 senior payments professionals at US banks , suggest larger transaction limits are helping to boost instant payment demand. Over one in 10 (12 per cent) expect that surge to top 50 per cent.
The Payments Association
JULY 18, 2025
Growing dependence on third-party cloud, fraud detection, and payment platform providers raises systemic risk as firms are responsible for ensuring those vendors meet resilience standards. Gather data and build evidence cases showing low fraud outcomes under alternative SCA models, which may support justifications for limit increases.
Stax
AUGUST 22, 2024
Identity theft, data breaches, and chargeback fraud are some of the most common types of risks. This is why you need robust fraud detection mechanisms and ensure that they are up-to-date. Some of these mechanisms include advanced machine learning algorithms, real-time transaction monitoring, and multi-factor authentication.
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