Praveen Sivathapandi, is a IT leader who has more than 18 years of experience in various sectors such as healthcare, finance, ...

making it an ideal source for unsupervised fraud detection. In the future, machine learning models will be integrated to improve the classification and prediction of fraudulent transactions. The ...

This project focuses on building a machine learning model to predict fraudulent transactions based on various financial and behavioral features. The goal is to develop a reliable and scalable fraud ...

Digital transactions have emerged as a dominant force in today’s global commerce sector, empowering businesses and fin ...

Weather forecasters are using a relatively rare “high-risk” designation to warn that a major tornado outbreak appears likely ...

Zelle has ceased its standalone mobile app as of April 1, 2025. Users must now access Zelle through their bank or credit ...

Fraudsters aren’t slowing down, and neither should banks. Machine learning is changing the game, making fraud detection ...

Amp (AMP) is a decentralized collateral token facilitating fast and secure payment transactions on the Flexa network ... a lot more going on behind the scenes. – Credit card fraud increased by 7% in ...

Investors are looking for the next high-growth prospect as the cryptocurrency market moves into a fresh, positive phase.

Credit card fraud can happen if someone physically steals ... Regularly check that the transactions listed on your credit card statements and online accounts were made by you or any authorized ...