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The true cost of fraud

Abrigo

Measuring the cost of fraud losses. The true cost of fraud goes beyond the initial reported fraud losses Would you like other articles like this in your inbox? Takeaway 1 Fraud scams made worse by the pandemic continue to be successful, while crypto-scams are emerging. That equates to $35 billion annually.

Fraud 195
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Ten qualities of a successful BSA officer

Abrigo

BSA training and experience must be extensive to meet regulatory expectations of a BSA Officer being competent and able to execute all duties effectively. Financial services experience: Practical experience in the banking or financial sector, especially in compliance, risk management, or auditing roles, is invaluable for a BSA Officer.

Training 221
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Change management in banks and credit unions: A key to success

Abrigo

Takeaway 3 Institutions can not only navigate the challenges of the modern financial landscape but also thrive in it with sound change management processes. This article describes recent comments by financial regulators about managing change. Risk mitigation : Change, when not managed properly, can introduce risks.

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Using BSA Hot Topics to Strengthen Your BSA Program in 2020

Abrigo

This is a must-have risk management concept. BSA officers should be confident in their position and ready to share this advisory with leadership and the Board if the institution is at risk. Are you proactively monitoring the Dark Web to better protect against fraud? Learn more. Have Proper Internal Controls.

Training 195
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Explainability in Fraud Management — What to Focus On Now

FICO

While it may seem like an esoteric topic, explainability in fraud management is important – and it’s especially relevant when it comes to using AI and machine learning in fraud detection and prevention. In other words, a fraud management system isn’t a black box. Proprietary or shared fraud detection models?

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A thoughtful approach to generative AI

Abrigo

Takeaway 2 AI can lead to more accurate and consistent outputs or predictions, better risk management, and improved customer experiences. In the simplest sense, generative AI refers to artificial intelligence models that generate new data similar to the data that “trained” the model.

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CFPB and federal banking agencies issue RFI on the use of artificial intelligence by financial institutions

CFPB Monitor

fraud detection and financial crime monitoring). Augmenting risk management and control practices. The agencies observe that the potential risks associated with using AI are not unique to AI, such as creating operational vulnerabilities and consumer protection risks (fair lending, UDAAP, privacy). Uses of AI.