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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. And in PYMNTS’ own coverage, the twin external forces of regulatory scrutiny and market pressures are pushing FIs to retool and strengthen their anti-money laundering (AML) efforts.

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Money mules create a real-time AML problem: Here’s how to address it

The Payments Association

Is AML a real-time problem? It takes AML teams weeks (if not months) of diligent analysis to escalate these activities to law enforcement. It takes AML teams weeks (if not months) of diligent analysis to escalate these activities to law enforcement. The answer seems to be no at first glance.

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AI Meets AML: How Smart Analytics Fight Money Laundering

FICO

In the last six months alone, I think I’ve read at least 1,000 Wall Street Journal articles on artificial intelligence (AI) and its technologic cousins: robots, drones and self-driving cars. One of the places where AI can make a huge difference today is in anti-money laundering (AML). Some will even disappear.

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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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Using AI and Machine Learning to Improve AML

FICO

When the sheer computing power of AI meets the transactional complexity of AML, good things happen. Each bank has dedicated large teams whose sole purpose is to monitor financial and non-financial transactions and identify and create suspicious activity reports, or SARs. AI Is the Future of AML.

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Machine Learning for AML Gives Pros “Superhuman” Powers

FICO

Many anti-money laundering (AML) operations work hard to show that they are in compliance with rules and regulations, and struggle to maintain appropriate staff levels to work all the alerts. Machine learning for AML is dramatically improving the efficacy of compliance operations, today. Transactions may also be auto-actioned.

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AI Meets AML: How the Analytics Work

FICO

Now it’s my turn, and I’m going to explore the AI and machine learning technologies my team has integrated into the FICO TONBELLER Anti-Financial Crime Solutions. As Frank noted in his post, we have integrated two main AI components into our AML products. The weights of the model are either expert-driven or based on limited SAR data.

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