Remove Fraud Remove Industry Remove Risk Management Remove Security
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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. . The banking industry is no stranger to this.

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FedNow implementation: What fraud and AML professionals need to know

Abrigo

How offering FedNow instant payments affects fraud & AML/CFT compliance What financial crime staff can do to prepare fraud and AML functions for implementing the FedNow Service for instant payments. Would you like other articles on fraud and AML/CFT compliance in your inbox? Instant payments service What is FedNow?

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Interest rate risk management in a rising rate environment

Abrigo

If an institution wasn’t fully prepared, however, it can nevertheless meet its goals using tailored asset/liability management (ALM) strategies. Balance sheet management Rising rates and overnight borrowing Federal Reserve Chairman Jerome Powell has increased the Federal Funds Target Rate from 0-0.25% to now 4.50-4.75%

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Geolocation Puts A Pin In Anti-Fraud Solutions

PYMNTS

With digital transactions and eCommerce soaring during the pandemic, the rate of increasingly sophisticated fraud has also risen. With it, financial institutions need to strengthen their compliance to mitigate the risk of running afoul of the law. Can you really know your customer if you don’t know their location?”

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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. The banking industry is no stranger to this. While AWS and Azure offer great options for businesses, they are not responsible for the security of the data. Get it in writing.

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

Perficient

Generative AI ingests data and understands guidelines incredibly well; therefore, businesses across industries are jumping to take advantage of all the possible ways the tool can help save them money and create elevated, uber-personalized customer experiences.

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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. Risk Management. AI may be used to augment risk management and control practices. It involves using software to analyze both structured and unstructured data (i.e.,