Proactive monitoring tools, such as a third-party hotline platform and data analytics, coupled with employee engagement and a ...

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

Fraud detection is defined by a structural imbalance that has long challenged data-driven systems. Fraudulent transactions typically account for a fraction of a percent of total transaction volume, ...

Two-year-old Tofu is using AI to cross-reference social media profiles and verify applicant’s identity. A new partnership ...

Amirali Aghazadeh receives funding from Georgia Tech. When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found something astonishing.

Advanced fraud detection system using machine learning to identify fraudulent transactions and activities. This project implements multiple machine learning algorithms including Random Forest, XGBoost ...

1 Department of Computer Science, College of Computing and Information Technology, Shaqra University, Shaqra, Saudi Arabia 2 InnoV'COM Laboratory-Sup'Com, University of Carthage, Ariana, Tunisia ...

BECKLEY, WV (WVNS) – Many people today are using AI to help them write, create content, and organize information. Did you know the tech could also be helping to protect your wallet? AI is being ...

What used to be simple forgery or stolen checks has evolved into coordinated attacks that exploit every weak spot in the claim payment process. From account takeovers and phishing attacks to ...

At this year’s Credit Scoring and Credit Control Conference in Edinburgh, colleagues Ben Archer and Peter Szocs presented on a topic gaining significant attention: how federated learning can support ...

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 ...

ABSTRACT: SQL injection attacks pose a critical threat to web application security, exploiting vulnerabilities to gain access, or modify sensitive data. Traditional rule-based and machine learning ...