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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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Best practices for credit risk management in uncertain times

Abrigo

Fortify your credit risk management framework How to prepare your organization for scrutiny of its credit risk management practices during your next exam or review. . You might also like this whitepaper, "Stress Testing: Managing Capital Levels and Credit Risk." keep me informed. Know your limits.

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Cyber Complications for Vendor Risk Management

Abrigo

Cybersecurity | 4 minute read Key Takeaways Third-party/vendor risk management is becoming increasingly challenging with more cloud-based providers. On top of initial vendor due diligence, there are ongoing, systematic approaches to managing third-party relationships. . Cyber Due Diligence. This is a big misconception.

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Cyber Complications for Vendor Risk Management

Abrigo

In a marketplace where data is shared and distributed at record speeds, third-party or vendor risk management is a challenge for most businesses. This movement to the cloud requires a robust vendor due diligence process and rigorous ongoing third party management that includes a focus on cybersecurity controls.

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How Mastercard Uses AI To Fight Fraud And Make Better Credit Decisions

PYMNTS

He and Nitendra Rajput , Mastercard’s vice president of product development and head of the company’s “AI Garage,” said that in many cases, AI is the only way to scale up sufficiently to meet the challenges the company faces with fraud and other business issues. “It Fighting Fraud in a Post-Pandemic World.

Fraud 274
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Introducing Our Partnership with Kyriba

Perficient

We are excited to announce our partnership with Kyriba and dedicated practice to provide our Oracle clients with a robust cloud-based treasury management solution. Payment fraud is now a high-priority concern. Businesses need the flexibility to define new banking relationships without the large, inflated IT projects. ” .

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

Perficient

fraud detection and financial crime monitoring). email, text, audio data), with the aim of identifying fraud or anomalous transactions. These technologies are also used to better target marketing in retail and customize trade recommendations in wealth management. Risk Management. Credit Decisions. Textual analysis.