AI is turning financial fraud into an arms race: banks use machine learning and network analytics to detect suspicious behaviour, while criminals deploy deepfakes, synthetic identities and ...

AI fraud detection at Navan advanced on August 10, 2026: the business travel platform deployed DataVisor's unsupervised ...

KFinTech launches Klarity, an AI tool for signature verification, enhancing fraud detection in financial services with ...

Banks should take a page from the health sciences' playbook and use artificial intelligence to "nudge" consumers away from transactions that have the characteristics of known fraud schemes, writes ...

Duston Detrick, Vice President and Business Banking Relationship Manager at Associated Bank, joins Steve Grzanich on this ...

Fraud detection requires leveraging new tools and models to keep ahead of increasingly sophisticated fraud. Financial institutions use AI to detect and prevent billions of dollars of fraud each year ...

RBI Governor Sanjay Malhotra says AI can reshape banking, expand credit and fight fraud, but banks must keep human oversight. Read more.

Revolut is pioneering a unique AI strategy in banking with its proprietary foundation model, PRAGMA, designed to understand financial behavior holistically. Unlike competitors using fragmented AI ...

Financial fraud has evolved into a highly sophisticated, global challenge — and both the banking and accounting sectors are under pressure to respond faster than ever before. Criminal networks use ...

Generative artificial intelligence is transforming financial fraud from a predominantly human-driven endeavor into a scalable, automated, and highly personalized threat. The emergence of synthetic ...

For years, bank fraud in Nigeria was associated with forged cheques, stolen cards, fraudulent withdrawals and collusion between bank employees and customers. That landscape has changed dramatically.