Remove Fraud Detection Remove Mitigation Remove Risk Assessment
article thumbnail

Economic Crime and Corporate Transparency Act examined: A guide to avoiding failure-to-prevent fraud measures

The Payments Association

Economic Crime and Corporate Transparency Act examined: A guide to avoiding the failure-to-prevent fraud offence February 6 2025 by Payments Intelligence LinkedIn Email X WhatsApp What is this article about? Compliance requires proactive fraud risk assessment, the implementation of preventive procedures, and a culture of accountability.

Crime 88
article thumbnail

Navigating AML obligations in the age of virtual IBANs

The Payments Association

Partnering with regional providers, leveraging AI for fraud detection, and conducting regular audits will ensure compliance, transparency, and operational excellence. Including structured data would help PSPs monitor and mitigate financial crime risks. Common standards would bring consistency and confidence.

IBAN 88
article thumbnail

Dwolla Partners with Plaid to Future-Proof Pay by Bank Payments

Fintech Finance

Set to go live in early 2025, this premiere payments solution will integrate Plaid’s instant account verification (IAV) and network-powered risk assessment capabilities into Dwolla’s pay by bank platform.

article thumbnail

Can Agentic AI in Fintech Transform Financial Services Through Autonomous Intelligence?

Fintech News

Regulators need clear guidelines on accountability, particularly in cases of erroneous or harmful AI-driven decisions, such as wrongful fraud detection or unfair credit scoring. From fraud prevention to financial inclusion, its applications are vast and impactful.

AI 82
article thumbnail

The role of artificial intelligence in enhancing AML and regulatory compliance in fintech

The Payments Association

The fintech sector is evolving rapidly, transforming financial transactions, but it is also facing growing regulatory scrutiny and risks, such as fraud and cybersecurity threats. As director/MLRO of SENDS, a UK-licensed EMI, I see AI’s potential in fraud prevention, AML, and compliance.

article thumbnail

AI and Machine Learning in Fintech: Transforming Financial Services

Fintech Review

Machine learning is particularly transformative in various fintech applications, such as personalised financial advice and risk assessment, marking a transformative shift in financial methodologies towards more advanced, data-driven approaches. It is essential to mitigate these risks to prevent potentially devastating impacts.

AI 98
article thumbnail

Announced at LEAP 2025: The Next Step for Saudi Arabia Financial Innovation

The Fintech Times

This platform enhances financial compliance through real-time data processing, risk assessment, and regulatory alignment, ensuring that financial institutions meet Saudi Arabias evolving fintech regulatory landscape. Saudi technology provider T2 acquired Moola , a corporate expense management platform.