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The rise of generative AI in payment security: A double-edged sword for data privacy

The Payments Association

The dual impact of generative AI on payment security, highlighting its potential to enhance fraud detection while posing significant data privacy risks. It underscores the need for payment firms to balance AI innovation with robust privacy and regulatory compliance to protect sensitive consumer data. Why is it important?

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Navigating the rise of AI-enabled fraud

The Payments Association

The article explores the growing threat of AI-enabled fraud in the payments sector and how firms can combat it with advanced technologies. It highlights the urgent need for payments firms to address AI-driven fraud to protect financial security, maintain customer trust, and comply with regulations. Why is it important?

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Financial Crime 360 state of the industry report 2025

The Payments Association

The methodology combines quantitative analysis of threat patterns with qualitative assessment of strategic responses. Questions address both immediate challenges (fraud prevention, regulatory compliance, technology readiness) and forward-looking opportunities (AI implementation, collaborative defence strategies, regulatory evolution).

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Stopping Fraud at the Gate: The New Imperative for Registration & Transaction Monitoring

Fintech News

The region faces a wave of sophisticated attacks: payment fraud losses are forecast to surpass US$362 billion between 2023-2028 , and identity fraud is rising sharply, exacerbated by data breaches and advanced AI-driven tactics. These risks are amplified in APAC, where mobile-first onboarding is often frictionless by design.

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APP fraud: Mid-year review

The Payments Association

It assesses whether the new policy is effectively protecting consumers and reducing fraud, while also highlighting ongoing challenges and debates about a broader, cross-sector approach to tackling APP fraud. Why is it important? What’s next? The future fight against APP fraud is helped by technology.

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The platform risk paradox: Managing digital commerce fraud at scale

The Payments Association

A shift toward AI-driven, integrated fraud management systems aligned with tightening UK regulations. Technology is evolving—But not a silver bullet AI-powered defences are advancing rapidly, from intent-based detection to behavioural biometrics. Generative AI and biometrics, including behavioural biometrics, offer massive potential.

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5 high-ROI uses of RAG models in banking and fintech

Finextra

If an AI tool is unable to continuously ingest that flow of new information and data, which then informs its output, the tool provides limited value. A better alternative is adding a retrieval augmented generation (RAG) layer to AI systems. And public models’ scopes are simultaneously limited to and diluted by training materials.