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Navigating the rise of AI-enabled fraud

The Payments Association

This is evidenced by the fact that payment card fraud alone is projected to increase by over $10 billion between 2022 and 2028, according to the data. These tools leverage machine learning algorithms to continuously learn and adapt, enabling them to spot evolving fraud tactics that may otherwise go undetected by static rule-based systems.

AI 88
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Runa Introduces Runa Assure: Proactive Security for Payout Protection

Fintech Finance

Key security features include: Advanced Machine Learning Fraud Detection: Prevent unauthorized access with IP Allowlisting & Multi-Factor Authentication (MFA), and monitor suspicious activity with user behavior analytics.

PCI DSS 87
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SNEAK PEAK: Unveiled: 2024 Key Financial Crime 360 findings

The Payments Association

Continued investment in innovative fraud detection technologies and adaptive regulatory frameworks is essential to stay ahead of evolving financial crime threats. Key findings reveal that fraud remains the foremost concern, with identity fraud being the most common type encountered.

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A Complete Guide to Securely Process Credit Cards in Sage 100

EBizCharge

A secure payment processing provider for Sage 100 will also give merchants access to fraud detection and prevention tools, 3D Secure, chargeback management, and more. By protectin g payments in Sage 100, your company can reduce the risk of data breaches and fraud, ensuring a secure experience for all parties involved.

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The PSR’s new fraud refund rules: A step forward, but is it enough?

The Payments Association

, argue that the lower cap may reduce the financial industry’s incentive to prevent fraud. Furthermore, the reduced compensation could result in banks taking a more lax approach to fraud prevention and leaving victims in the lurch, assuming they will be covered. AI is a double-edged sword in fraud prevention.

Rules 88
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SNEAK PEEK: Unveiled: 2024 Key Financial Crime 360 findings

The Payments Association

Continued investment in innovative fraud detection technologies and adaptive regulatory frameworks is essential to stay ahead of evolving financial crime threats. Key findings reveal that fraud remains the foremost concern, with identity fraud being the most common type encountered.

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5 Common Types of Fraud that Threaten Neobanks

Seon

We know neobank risk teams must stay aware of evolving threats and take an active approach to closing those routes to fraud. This is why, in this article, we examine the five most common types of fraud in neobanking and how to protect against them – no matter how mature your approach to fraud prevention is.