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.

Transparency is another priority. Given the decentralized and trust-based nature of Web3.0, the expert emphasizes ...

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

Had it been around in 2020, it could have flagged tens of billions before payouts, PRAC tells Congress A fraud-detection AI ...

The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...

One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...

2025 NOV 05 (NewsRx) -- By a News Reporter-Staff News Editor at Health Policy and Law Daily-- Data detailed on Machine Learning have been presented. According to news reporting from Hong Kong, ...

AtData, a leading innovator in email address intelligence and digital trust solutions, is introducing Gibberish Detection, a new machine learning-driven model in its fraud prevention suite that ...

Speaking at Inc42’s 'The GenAI Summit', PhonePe CTO and cofounder Rahul Chari said while there is a lot of buzz around generative AI, people often confuse AI with GenAI Commenting on GenAI, Chari said ...

2022 DEC 27 (NewsRx) -- By a News Reporter-Staff News Editor at Engineering Business Daily-- Investigators publish new report on artificial intelligence. According to news reporting out of Gujarat, ...

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 ...