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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 AML Case Management Drives Efficiency in Financial Investigations

Seon

Anti-money laundering (AML) initiatives involve laws, regulations and procedures aimed at preventing criminals from masking illegally obtained funds as legitimate income. Since the global financial crisis, AML fines totaled $56 billion, with US-based financial institutions incurring $5 billion in fines for related infractions in 2022.

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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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Jumio To Integrate Beam's AML Platform To Boost Financial Crime Detection Capabilities

PYMNTS

Jumio , known for its suite of artificial intelligence (AI)-powered identity verification and online know your customer (KYC) products, is beefing up its anti-money laundering (AML) powers. Another key component of the platform is helping companies manage various KYC and AML regulations in different jurisdictions across the world.

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RPA for AML and KYC – Automate Financial Crime Investigations

FICO

In my Financial Crimes Predictions 2021: More AI & Ransomware post , I talked about how banks will move to operationalize their Anti-Money Laundering (AML) compliance programs to achieve greater efficiencies and how robotic process automation (RPA) adoption will drive the paradigm shift. Collect data from internal and external sources.

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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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