Deepfake and continuous identity protection programs must therefore be framed not as experimental controls, but as ROI-driven investments.

AI has been behind some of the social services abuse uncovered in the state. Officials are using machine learning to sift through thousands of provider claims to uncover crimes.

Launching a digital wallet today involves far more than enabling payments. As the digital wallet trends 2026 show high adoption of digital wallets, so do the challenges like increasingly sophisticated ...

Background: Fraud is a type of financial crime risk that poses threats to customers and banks. There're multiple typologies within fraud such as authorised and unauthorised digital, payment, credit ...

Abstract: Auto insurance claim fraud has become increasingly prevalent in recent years posing a significant challenge for the auto insurance industry. To address this issue there is a growing need for ...

Abstract: The rapid surge in digital financial transactions has been accompanied by a parallel increase in credit card fraud, underscoring the need for highly accurate and scalable detection systems.

ABSTRACT: Improved accuracy in predicting corporate financial fraud significantly enhances regulatory efficiency and market stability. However, detecting increasingly sophisticated fraud patterns ...

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 ...

Roughly one in ten Americans 60 or older has been the victim of some form of elder abuse in their lifetime, while older adults lose a staggering $28 billion each year to financial fraud. Despite ...