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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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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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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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Cognitive Analytics for AML – Making SARs Count

FICO

is to the existing Bank Secrecy Act (BSA)/anti-money laundering (AML) regime. Among the key provisions is addressing the increasing burden on financial institutions required to file Suspicious Activity Reports (SARs) and the enormous amount of data flowing to Treasury’s Financial Crime Enforcement Network (FinCEN). In the U.S.,

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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

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.

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