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An Introduction: Generative AI Use Cases for the Financial Services Industry

Perficient

Risk Management , Anti-Money Laundering, & Fraud Protection Financial institutions invest heavily in security and risk management, but prevention and recovery progress are delayed by manual reporting and disparate systems.

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EY Accused Of Missing Alleged Wirecard Fraud

PYMNTS

In the ongoing scandal of Wirecard , under fire for fraud, the focus is now turning to auditors Ernst & Young (EY), which reportedly failed to report Wirecard’s “unorthodox financial arrangements” as far back as 2016, The Wall Street Journal (WSJ) reported.

Fraud 327
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Safeguarding new banking products from fraud

Abrigo

6 Steps t o mitigate fraud risk tied to new products Your AML and fraud teams' input is key when it comes to offering new bank products. You might also like this infographic, "Beyond immediate fraud losses: How the costs and impacts of fraud snowball." download NOW Takeaway 1 Fraud losses totaled $485.6

Fraud 221
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Model Risk Management: Regulatory Priorities and Best Practices

Abrigo

Meet Model Risk Management Expectations Updates to the FDIC Risk Management Manual should steer institutions toward a model that manages risk and drives growth. Takeaway 1 Aside from meeting examiner expectations, proper model risk management can protect your institution from unnecessary risk. .

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Fraud and AML integration: Is the FRAML approach right for your financial institution?

Abrigo

Evaluating the FRAML approach For years, financial institutions have debated the merits of combining fraud and anti-money laundering (AML) functions into a single department in what's known as a FRAML approach. At its core, FRAML is about taking a more holistic approach to financial crime risk management.

Fraud 195
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Fusion Pulls Suppliers Into Its Corporate Risk Management Software

PYMNTS

Fusion Risk Management is expanding its corporate risk management software offering by integrating new functionality into the tool, the company said in a press release on Monday (Sept. He added, “Fragmented programs that rely on legacy tools bear hidden costs and risks.”.

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Unlocking the Power of Azure Integration Services for the Financial Services Industry

Perficient

High-Impact Examples in the Financial Services Industry Real-Time Fraud Detection and Prevention Fraud detection is critical in the financial industry. For example, a bank can integrate its transaction processing system with Azure Machine Learning to instantly identify and flag suspicious activities, reducing fraud risk.

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