Remove Fraud Detection Remove Fraud Prevention Remove Real Time Payments
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Lynx fraud prevention wins top spot at FSTech Awards

The Payments Association

This award is a significant validation of our AI-driven fraud prevention technology and the Lynx teams dedication to closely partnering with our customers in the fight against financial crime. Financial institutions (FIs) grapple with complex, interconnected fraud and financial crime challenges. The results are clear.

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Visa to Acquire AI Fraud Detection Firm Featurespace

Fintech News

Payment giant Visa is set to acquire Featurespace, a company specialising in artificial intelligence (AI) technology for real-time payments fraud protection. Founded in 2008 at Cambridge University, Featurespace has developed AI-driven algorithms that can detect complex fraud patterns in transaction data.

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Payment orchestration: Beyond transaction routing

The Payments Association

Cross-border payment solutions : Cross-border commerce represents a significant growth opportunity but introduces substantial challenges. Real-time payments and instant settlement: As consumer expectations shift, instant gratification has become the norm rather than a luxury.

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Payments trends report 2024

The Payments Association

Table of Contents Voices from the industry: Insights into the 2024 payments landscape In 2024, we witnessed a convergence between consumer and B2B payments, driven by the rise of BNPL adoption, AI-powered fraud detection, and the continued digitalisation of payment platforms.

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Tech innovation in payments: Bridging gaps and building an inclusive financial ecosystem

The Payments Association

As digital payment technologies evolve, they are revolutionising how transactions occur and breaking down barriers that have long excluded billions from the financial ecosystem. With the rise of real-time payment settlement networks, cross-border transactions are becoming instant, cost-effective, and more transparent.

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Why staying put is no longer the safe option for payments innovation

The Payments Association

Legacy systems are increasingly unreliable, expensive to maintain, and resistant to modern payment innovations. Security & compliance risks: Meeting growing AML, fraud prevention, and regulatory demands is difficult with rigid, outdated infrastructure.

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Machine Learning Fraud Detection: Why Custom Models Beat Off-the-Shelf Solutions

Fraud.net

Explore how machine learning fraud detection reduces false positives, improves accuracy, and adapts to emerging fraud trends.