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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." Have a playbook.

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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. . Fraud Prevention. Credit Risk. Learn More.

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AI Regulations for Financial Services: Federal Reserve

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. Implementation of Risk-Management Practices and Termination of Noncompliant AI AI policy and review process.

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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. Regardless of whether banks manage it internally or outsource it, the regulatory burden lies with the institution. The banking industry is no stranger to this.

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AI Regulations for Financial Services: CFTC and FDIC

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. The report recommended that the agency develop a sector-specific AI Risk Management Framework.

FDIC 221
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AI Regulations for Financial Services: SEC

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. In addition, SEC’s Division of Enforcement has reported that it has AI-focused investigations underway.