Remove Fraud Remove Regulation Remove Risk Management
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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.

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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.

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AI Regulations for Financial Services: OCC

Perficient

Artificial intelligence (AI) is poised to affect every aspect of the world economy and play a significant role in the global financial system, leading financial regulators around the world to take various steps to address the impact of AI on their areas of responsibility.

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

Perficient

Highly regulated industries, such as the financial services industry, are especially interested in generative AI’s capabilities surrounding how it can support ever-transient regulatory and data governance demands. Using generative AI for such purposes gives human resources more bandwidth to thoroughly investigate suspicious incidents.

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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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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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Bank Regulators Seeking Comments on the Use of AI and ML in the Industry

Perficient

Finally, views are sought for compliance with applicable laws and regulations, including those related to consumer protection. fraud detection and financial crime monitoring). email, text, audio data), with the aim of identifying fraud or anomalous transactions. Risk Management. Textual analysis. Cybersecurity.