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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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RT2: A strategic transformation for UK payment providers

The Payments Association

Filip Berlikowski CTO, Payall "RT2’s real-time capabilities and ISO 20022 structured data will transform UK payments—enabling immediate fraud detection, reducing false positives, and turning compliance into a competitive edge. This supports richer data, improved compliance, and more efficient cross-border transactions.

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Playing a strategic role in the future of payments

The Payments Association

A Q&A with Rotzer shares some insights on the company’s approach, combining technological innovation with a focus on regulatory compliance and operational efficiency. In August 2024, Switzerland launched SIC Instant Payments (SIC IP), marking a shift toward real-time transaction processing.

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A Complete Guide to Securely Process Credit Cards in Sage 100

EBizCharge

As data breaches evolve and advance, a robust payment processing system that protects sensitive financial information is essential. For companies using Sage 100, understanding how to process credit cards securely is not just an option it’s a necessity.

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Modernizing Government Payment Systems for Efficiency and Trust

Clearly Payments

Challenges in Government Payment Processing Government agencies manage a diverse range of payment types, including tax payments, permit fees, licensing, utility bills, and fines. Compliance Issues: Governments must adhere to strict regulations like PCI DSS, which can be difficult with aging systems.

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Navigating the rise of AI-enabled fraud

The Payments Association

As payment systems become more digitised and interconnected, the attack surface expands, and the stakes for payments firms to invest in robust, AI-driven fraud detection and prevention systems have never been higher. fingerprints, facial recognition), and behavioural biometrics (e.g., keystroke dynamics or mouse movements).

AI
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AI Becomes the Banker: 21 Case Studies Transforming Digital Banking CX

Finextra

This broad applicability in banking (from automating fraud reviews to generating customer communications) underscores how financial firms are integrating GenAI into their core workflows more aggressively than most. Indeed, 64% of finance leaders report using AI for fraud detection and risk management in their institutions.

AI