Tax fraud is a persistent global challenge, with annual losses surpassing USD 1 trillion in corporate tax revenue alone. The ...

In today’s rapidly evolving digital landscape, fraud and financial crime have become increasingly complex and create pervasive issues ...

Technology is advancing at an unprecedented rate, and terms like “machine learning”, “deep learning”, and “neural networks” ...

Understand what Machine Learning is, how it works, and its three main types, along with some real-life examples.

The BNPL fraud prevention market presents growth opportunities driven by rising digital payments, increased cross-border transactions, and the need for secure solutions like biometric authentication ...

Among the key uses of AI in compliance, and in general, is the fight against money laundering. Machine learning algorithms ...

Fraud is no longer merely a nuisance. It’s become a significant, evolving threat that can cost businesses more than money. It holds the power to break down customer trust, slow operations and expose ...

Over the next three to five years, we velieve federated learning has the potential to move from testing into mainstream adoption. Fraud is evolving too quickly for any single institution to tackle in ...

Digital transactions have emerged as a dominant force in today’s global commerce sector, empowering businesses and financial institutions like never before. However, at the same time, this transition ...

Entrust, a pioneer in identity-centric security solutions, announced an expanded partnership with Mastercard to enhance fraud ...