A new family of Android click-fraud trojans leverages TensorFlow machine learning models to automatically detect and interact ...
How agencies can use on-premises AI models to detect fraud faster, prove control effectiveness and turn overwhelming data ...
AI tools are exposing hidden truths in art history, analyzing brushstrokes to reveal who really painted the world’s ...
One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...
The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...
Money laundering is on the rise, analysts say, as criminals exploit new technologies like artificial intelligence, crypto, ...
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 ...
Discover how AI is revolutionising the financial sector in South Africa, enhancing fraud detection, personalising services, ...
Gibberish Detection analyzes the text of an email address to classify the likelihood of randomness or automation using indicators such as pattern anomalies and likely bot behavior. The resulting ...
ABSTRACT: Context and Justification: As financial services undergo accelerated digitalization, the expansion of electronic transactions within digital wallets increases vulnerabilities to fraud, ...
ABSTRACT: Improved accuracy in predicting corporate financial fraud significantly enhances regulatory efficiency and market stability. However, detecting increasingly sophisticated fraud patterns ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback