AtData, a leading innovator in email address intelligence and digital trust solutions, today announced Gibberish Detection, a ...

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

Traditional rule-based systems, once sufficient for detecting simple patterns of fraud, have been overwhelmed by the scale, ...

Explore how machine learning, EEG data, and high-performance computing can help detect signs of consciousness.

Together, they create an infrastructure layer designed for a world where attacks are automated, data is abundant and digital ...

What’s driving the rise in digital fraud? The global payments landscape appears more dynamic and complex than ever before. As e-commerce spending accelerates toward an estimated $8.1 trillion by 2028, ...

Dr. Vishal Sharma vishal.sharma@fulbrightmail.org Not long ago, the word “Artificial Intelligence (AI)” would bring to mind ...

Using wide-ranging data and enforcement insight, Professor Chris Elliott outlines food fraud predictions and trends for 2026 ...

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

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.

To address this challenge, I propose the 5‑Layer Modernization Stack, a practical, implementation‑ready architecture designed specifically for financial institutions adopting generative AI. This ...