Opinions expressed by Entrepreneur contributors are their own. Internet fraud is a menace in our various financial institutes, and many fintech companies have been victims of this fraud game.

A new framework integrates graph databases with real-time machine learning to enhance fraud detection and risk control in digital finance. By ...

Abstract: Fraud in supply chain operations poses significant risks to businesses, including financial losses, operational inefficiencies, and erosion of stakeholder trust. With the increasing ...

AI won’t be just the next big thing in solving fraud; it might be the biggest part of the problem. Fraud-prevention ...

Today’s fast-paced online world is underlined by systems that allow it to move that fast. Whether it’s the latest advancements to transport systems, faster internet connections, or more real-time ...

I argue that artificial intelligence is not the silver bullet for financial fraud; instead, its widespread adoption risks ...

This content is provided by an external author without editing by Finextra. It expresses the views and opinions of the author. This has been fuelled by the proliferation of technology ranging from ...

TEHRAN - In a world where nearly every transaction happens online, from mobile banking to e-commerce and digital investments, ...

How can artificial intelligence help detect fraud? Artificial Intelligence can play a crucial role in fraud management by detecting and preventing fraudulent activities. The global average rate of ...

Ravelin, a machine learning fraud detection company based in London, has raised approximately $3.7 million (£3M) in funding to support its growing global client base. The finance round was led by ...

Here are some of the ways in which machine learning has contributed to cybersecurity: 1. Malware detection: Machine learning algorithms can analyze large volumes of data to identify patterns that are ...