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DataVisor Unveils its AI-Powered End-to-End AML Compliance Solution

Finovate

Fraud and risk platform DataVisor launched its anti-money laundering (AML) solution this week. AI-powered fraud and risk platform DataVisor launched its end-to-end anti-money laundering (AML) solution this week. AI-powered fraud and risk platform DataVisor launched its end-to-end anti-money laundering (AML) solution this week.

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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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How to Maintain Anti-Money Laundering Compliance as a PayFac

Stax

The US, therefore, requires financial institutions as well as financial services firms to have anti-money laundering (or AML) compliance programs in place. In this article, we’ll discuss everything you need to know about ensuring AML compliance as a payment facilitator (or PayFac). Let’s get started.

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What’s happening with the FCA and AML?

Neopay

With the change in the anti-money laundering (AML) supervisory approach of the Financial Conduct Authority (FCA), many firms are nervous about whether they will face FCA scrutiny and what to expect if they do. He has shared his insight and experience to assist firms with the changes to the FCA’s approach to AML supervision. No problem.

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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. AML Threat Score: Reducing False Positives Amid Defensive SAR Filings.

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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.

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FinCEN Files Show Banks’ ‘Whack-a-Mole’ Battle Against KYC/AML

PYMNTS

The documents, officially known as suspicious activity reports (SARs for short) show that the banks had filed more than 2,000 reports across the past 17 years. billion transactions for potential suspicious activity and screened more than 157 million transactions for compliance with applicable sanctions requirements. billion in fines.

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