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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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Fraud typologies all financial institutions should know

Abrigo

Can your AML/CFT and fraud staff recognize these fraud typologies? The technology used to perpetrate financial crimes may be changing, but these common fraud typologies aren't going anywhere. This is a nearly 10% increase in complaints received and a 22% increase in losses and thats just fraud that was offically reported.

Fraud 221
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Investment accounting compliance: How technology helps

Abrigo

Meeting investment accounting and reporting requirements The right technology tools can help institutions manage investment accounting compliance and risk exposure across various investment types. Investment accounting compliance not only minimizes operational risks but also reduces regulatory scrutiny.

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6 Digital Banking Trends for 2025

Perficient

Recommended Approach: Navigating constant changes in risk and regulatory environments is crucial for banks in 2025. By ensuring compliance with regulations, banks mitigate risks and maintain trust with customers and regulatory authorities. They need to align AI initiatives with the bank’s overall business goals.

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Celebrating FinCrime Fighter Day: Honoring the heroes of financial security

Abrigo

Their contributions are massive, and if you’ve ever worked with AML Officers and fraud professionals, you know just how vital they are. Every day, I’m reminded of the critical role the teams at our 2,500 bank and credit union customers play in anti-money laundering (AML), combating the financing of terrorism (CFT), and fraud prevention.

Security 221
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AI Regulations for Financial Services: OCC

Perficient

The economic risks of AI to the financial systems include everything from the potential for consumer and institutional fraud to algorithmic discrimination and AI-enabled cybersecurity risks. Hsu highlighted that each phase requires different risk management strategies and controls.

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

Perficient

Improved Security and Compliance With stringent regulatory requirements in the financial sector, security and compliance are paramount. High-Impact Examples in the Financial Services Industry Real-Time Fraud Detection and Prevention Fraud detection is critical in the financial industry.

Industry 467