Fraud Detection Fraud Prevention Transaction Limits 
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.
The Payments Association
JULY 15, 2025
Questions address both immediate challenges (fraud prevention, regulatory compliance, technology readiness) and forward-looking opportunities (AI implementation, collaborative defence strategies, regulatory evolution). Coupled with a culture of innovation and trust, this drives effective, customer-centred fraud prevention."
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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.
The Payments Association
JULY 18, 2025
In the UK, the implementation of landmark fraud prevention laws and the expansion of the cryptoasset regulatory perimeter mark a decisive shift towards greater accountability. Next steps/action required: Conduct or update a fraud risk assessment, with documented outputs and regular review cycles.
Fintech News
OCTOBER 22, 2024
This is followed by advanced authentication methods (70.2%), customer education initiatives (68.1%), and the implementation of real-time fraud detection systems (53.2%). reported their use only in “specific scenarios” or for certain types of fraud. About 55.3% reported adoption of biometric security solutions. About 55.3%
The Payments Association
OCTOBER 14, 2024
The Payment Systems Regulator’s decision to lower the cap for APP fraud reimbursements to £85,000. It affects how victims of fraud are compensated and how payment service providers (PSPs) approach fraud prevention. She adds: “Smaller payments players, unlike large banks, only see a tiny portion of transaction patterns.
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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