Financial institutions lose billions annually to fraud while legitimate customers abandon transactions due to false positives. This costly paradox reveals why the next wave of AI innovation in banking ...

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

Traditional rule-based systems, once sufficient for detecting simple patterns of fraud, have been overwhelmed by the scale, ...

Examine how deepfake AI is transforming cryptocurrency through sophisticated scams, rising fraud statistics, real-world ...

Others leverage AI to monitor customer journeys, identify pain points, and provide seamless virtual assistance. These ...

In the face of escalating fraud, banks are increasingly relying on artificial intelligence (AI) to safeguard their operations. A recent study by PYMNTS reveals that a remarkable 98% of acquiring banks ...

Fraud is a form of financial crime that can be carried out through human actions, technology, or a combination of both. It ...

In 2026, business leaders, especially in the finance sector, face an increasingly threatening fraud landscape shaped by generative AI. In fact, Deloitte estimates losses from fraud for US banks is ...

To get started: Data is the New Gold, but Privacy is the Vault! The data, and more specifically, customer data, is everything in finance. Whether you've seen it at a ...

An RTI response that MediaNama received from the RBI revealed that 23 banks have implemented the MuleHunter.AI initiative ...

The case for AI adoption in banking centers on strategic augmentation, were AI becomes a co-pilot for human experts. The goal ...