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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 222
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AI and generative AI use cases in banking: 6 real-world examples

Abrigo

You might also like this webinar, "The check's in the mail: Understanding and preventing check fraud." WATCH Takeaway 1 Understanding generative AI and how peers are using AI and genAI helps financial institution leaders and management vet the technology and related risks. Introduce key takeaway below. This short be 2 lines max.

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Feedzai Reports 44 Pct Increase In First Half Of 2020

PYMNTS

Risk management platform Feedzai announced a 44 percent increase in growth for the first half of the fiscal year for 2020, which a press release says was one of the company’s most successful so far. In addition, the company has strengthened its hiring, with several veterans of finance, policy and regulatory affairs joining the team.

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FinCEN’s AML/CFT Priorities: A risk assessment perspective

Abrigo

Introduction Incorporating the AML/CFT priorities into a risk assessment Not all risks to a financial institution are equal. Since the AML/CFT priorities are still relatively new, the residual risk is most likely considered low to moderate when solid mitigating processes are in place. or internationally.

Fraud 195
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Oversight Launches T&E Fraud Identification Tool

PYMNTS

Oversight Systems has updated its Insights On Demand software-as-a-service (SaaS) solutions to provide managers with quicker ways to identify expense report fraud. businesses lose $1 billion every year due to employee expense fraud. In an announcement on Tuesday (Jan. Oversight cited data from JPMorgan, which estimated U.S.

Fraud 100
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Ask the expert: 20 questions fraud fighters want to know

Insights on Business

In our webinar yesterday, the first in the series AI Fraud Detection — Beyond the Textbooks , we ran out of time and weren’t able to address some great questions we had from the audience. What rules or models can you recommend to detect push-payment fraud”? Here’s why: All fraud models are predictors. Great question!

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Consumer Lending Compliance: Hot-Button Issues to Monitor

Abrigo

Consumer lending compliance — like other aspects of enterprise risk management at financial institutions — saw a huge impact from the COVID-19 pandemic. Examiners, therefore, will routinely consider whether consumer lending underwriting and pricing guidelines, policies, and procedures comply with these requirements.