Loading...
Loading...
Browse all stories on DeepNewz
VisitWhich industry award will recognize Mastercard's AI-powered fraud detection system by December 31, 2024?
Frost & Sullivan Award • 25%
IDC FinTech Rankings • 25%
Finovate Awards • 25%
Other • 25%
Industry award announcements or Mastercard's official statements
Mastercard Enhances AI Defenses Against Payment Fraud with 60% Boost in Detection
Sep 28, 2024, 10:15 PM
Mastercard is enhancing its AI-powered defenses against payment fraud with new features in the Consumer Fraud Risk solution. These features provide instant risk scores to banks, aiming to target fraud before it happens. Early tests have shown a 60% boost in detecting fraudulent activities. This development highlights the growing role of AI in uncovering scams that traditional methods struggle to catch, such as check fraud. Additionally, authoritative phone data is being used to prevent AI-powered fraud, emphasizing the importance of data security and tech innovation in combating cyber threats. Privacy Tip #414 warns of fraud schemes promising big monetary rewards from AI.
View original story
Bank of America • 25%
JPMorgan Chase • 25%
Wells Fargo • 25%
Other • 25%
CES Innovation Award • 25%
AI Breakthrough Award • 25%
Furniture Today Innovation Award • 25%
Other • 25%
Technology Innovation Award • 25%
Safety and Security Award • 25%
Public Service Award • 25%
Other • 25%
Best AI Technology • 25%
Innovation in Software Development • 25%
Breakthrough of the Year • 25%
Other • 25%
Europe • 25%
Asia • 25%
South America • 25%
Other • 25%
Yes • 50%
No • 50%
IEEE Award • 25%
ACM Award • 25%
Nobel Prize • 25%
Other • 25%
Increase in accuracy • 25%
Reduction in false positives • 25%
Integration with new AI models • 25%
Other enhancements • 25%
Innovation in Retail • 25%
Innovation in Healthcare • 25%
Innovation in Financial Services • 25%
Innovation in Other Sector • 25%
Best Retail Innovation • 25%
Best Use of AI in Retail • 25%
Customer Service Excellence • 25%
Other • 25%
No • 50%
Yes • 50%
Yes • 50%
No • 50%
No • 50%
Yes • 50%
1-5 institutions • 25%
More than 15 institutions • 25%
11-15 institutions • 25%
6-10 institutions • 25%