Kinil Doshi is a Senior VP at Citibank and a fintech expert in banking compliance and risk management with two decades of experience. In this article, I want to explore AI applications in fraud ...

For card issuers, artificial intelligence is moving closer to the transaction itself. Eighty-nine percent of issuers plan to ...

Fraud detection is a high-stakes game of cat and mouse, with retail businesses continually adapting to outsmart increasingly sophisticated fraudsters. As ecommerce losses from online payment fraud ...

Coinbase fine-tuned Alibaba's Qwen3.5-9B for Onramp fraud detection, beating Opus 4.5 with 55% lower latency and under $100 in training costs.

Abrigo Inc., a provider of credit risk, compliance, and lending solutions for financial institutions, announced early Wednesday the launch of Abrigo Fraud Detection for ACH. The solution detects fraud ...

In today’s digital world, fraud has become more complex, which means we need smarter ways to detect and prevent it. Generative AI helps with this by looking at large amounts of data in real-time, ...

Fraud detection is no longer enough to protect today’s financial ecosystem. As digital transactions increase in volume and complexity, banks require intelligent systems that can assess risk with ...

Coinbase’s payment fraud replay found weaker detection from newer Opus, Sonnet and GPT models, showing why providers need ...

Here are the most common and latest advancements in payment fraud strategies and payment fraud prevention tools for protecting your business. Key takeaways: With AI technology, payment fraud and fraud ...

E-commerce is entering a new phase of fraud, where transactions that appear legitimate — valid accounts, correct details, even routine behavior — can mask coordinated attacks powered by synthetic ...

Some of the challenges of financial transaction anomaly detection include the fact that fraud is rare, adaptive and costly to operate. In this study, we propose the ...