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SEON launches AI-powered anti-money laundering suite

The Paypers

Following this announcement, the company’s expanded offering will integrate fraud prevention and AML compliance, aiming to provide teams with access to a single platform to screen and monitor customers in real-time, manage alerts, investigations, and regulatory reporting.

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AI Meets AML: How Smart Analytics Fight Money Laundering

FICO

One of the places where AI can make a huge difference today is in anti-money laundering (AML). FICO has incorporated AI technology in our FICO® TONBELLER® AML solutions ; FICO’s Chief Analytics Officer, Dr. Scott Zoldi , recently articulated a number of AI’s important benefits to customers attending the FICO TONBELLER User Group.

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AMLYZE: Is the Global Anti-Money Laundering (AML) System Broken?

The Fintech Times

In the last two decades, anti-money laundering (AML) regulatory framework, processes and mechanisms have not changed much. Alexandre Pinot , co-founder and head of innovation and strategy at Vilnius, Lithuania, headquartered AMLYZE , the AML/CFT compliance firm explains where the gaps in the current AML system are.

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AI Meets AML: How the Analytics Work

FICO

For instance, Aite Group LLC in its 2015 report Global AML Vendor Evaluation noted that “increasingly, regulators recognize that rules alone are not an effective manner of detection and are pressuring banks to include more sophisticated analytics.” As Frank noted in his post, we have integrated two main AI components into our AML products.

AML
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FinCEN Hits Capital One For $390 Million; Says Bank Violated Bank Secrecy Act

PYMNTS

According to a statement from FinCEN , Capital One admitted to failing to implement and maintain an effective anti-money laundering (AML) program. In determining the $390 million penalty, FinCEN said it considered Capital One’s cooperation with its investigation as well as its investments in its AML program over the past several years.

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FICO AML Threat Score Slashes Alert False Positives

FICO

For decades, anti-money laundering (AML) detection software has been rules-based, creating a problematic two-fold legacy: first, much true criminal activity goes undetected because criminals can learn the rules and then evade them. Let’s explore the data science magic that drives such a significant improvement in AML alert accuracy.

AML
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FICO’s New AML Scores Use AI and Machine Learning to Detect More Money Laundering

FICO

FICO’s New AML Scores Use AI and Machine Learning to Detect More Money Laundering. New AML scores reduce false positive alerts by 50% while detecting 100% of known money laundering transactions, and discover new aberrant, potentially risky behaviors. Rules-based Systems Continue to Underperform. asokolowski@speednet.pl.