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Mastercard supercharges fraud detection with GenAI

Finextra

Mastercard is turbocharging its fraud detection technology with generative AI that can scan a trillion data points to predict whether a transaction is likely to be genuine or not.

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Podcast: AI, RPA, fraud detection, data sharing enhancements in 2024

Bank Automation

In 2024, financial institutions can look to even more developments in AI, robotic process automation (RPA), fraud detection and data sharing technologies to set themselves up for digital success, technology platform […]

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Fraud Detection Systems & Strategies in the Banking Industry

Fraud.net

Discover advanced fraud detection systems used by banks and explore the solutions offered by Fraud.net for proactive fraud prevention.

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Mastercard Taps Gen AI for Faster, More Accurate Payments Fraud Detection

Fintech News

It promises to deliver improved fraud detection rates by an average of 20% and up to 300% in certain cases, thanks to its ability to process and enhance the overall DI score within a remarkable timeframe of less than 50 milliseconds.

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Strengthening Payment Security: Government Fraud Detection for Compliance Managers and Auditors

Core

The solution: robust government fraud detection mechanisms for payment systems. Here’s what compliance managers and auditors need to know to strengthen internal fraud prevention and safeguard public funds. When fraud persists for over five years, the average loss increases to $800,000.

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Bridging the Gap: Incorporating AI/ML into Rules-Based Fraud Detection Models

Fraud.net

Discover how financial institutions and fintechs can enhance fraud detection by incorporating AI/ML into rules-based fraud detection models.

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How AI and ML are used in payment fraud detection (16 use cases)

Nomentia

One such application is the detection of payment fraud. Before diving into the use of AI and ML in fraud detection, it is important to address these two technologies separately since they are not the same.