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Fraud and AML integration: Is the FRAML approach right for your financial institution?

Abrigo

Evaluating the FRAML approach For years, financial institutions have debated the merits of combining fraud and anti-money laundering (AML) functions into a single department in what's known as a FRAML approach. With such heightened scrutiny on fraud, keeping AML and fraud teams siloed may not be sustainable.

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Fight Card-Not-Present Fraud In A Card-Not-Present World

PYMNTS

In an interview with PYMNTS, Mitch Pangretic, senior vice president of strategic partnerships at Elan , said that in-person card fraud may have decreased thanks to EMV chips and multi-factor authentication, but card-not-present (CNP) scams are increasingly gaining traction.

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Visa: EMV Cuts Card-Present Counterfeit Fraud By 80 Pct

PYMNTS

Merchants saw a drop in card-present fraud due to the increased adoption of Europay, Mastercard and Visa (EMV) chip cards, Visa said. Merchants who have upgraded to chip technology saw a decrease of 80 percent in counterfeit fraud dollars in September of 2018 when compared to September of 2015.

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Regtech in banking: How emerging technology helps keep banks compliant

Abrigo

Would you like other articles on fraud and AML/CFT compliance in your inbox? Takeaway 1 Regtech uses new technologies such as AI and machine learning to streamline processes that keep organizations compliant. Consider what compliance and risk functions your organization would use as a starting point when integrating technology.

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Regtech in banking: How emerging technology helps keep banks compliant

Abrigo

Would you like other articles on fraud and AML/CFT compliance in your inbox? Takeaway 1 Regtech uses new technologies such as AI and machine learning to streamline processes that keep organizations compliant. Consider what compliance and risk functions your organization would use as a starting point when integrating technology.

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Understanding 1st-party fraud: Risks and resolutions

Abrigo

How financial institutions can prevent losses from 1st-party fraud Learn strong approaches to identifying, preventing, and detecting 1st-party fraud that will keep your AML program on top of fraud trends. Takeaway 3 Prevention and detection best practices can curb hard dollar 1st-party fraud losses while protecting clients.

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Machine Learning Supercharges Banks’ Efforts To Fight Debit Fraud

PYMNTS

While fraud affects less than 1 percent of all card purchases, consumers who do lose funds from their bank accounts must go through lengthy and often stressful processes to get their money back. Leveraging Machine Learning, Rules-Based Analysis To Fight Debit Fraud. Around The Next-Gen Debit World. Read the full story in the Tracker.

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