Banks and fintechs lose billions annually to fraudulent transactions, identity theft, and cybercrime. Traditional rule-based monitoring often misses evolving fraud patterns.
solution
Our Solution
We implemented an AI fraud detection engine that monitors every transaction in real-time, detecting anomalies and preventing financial losses.
Tools we used
Approach
Step-by-Step Workflow
Step 1
Stream transactional data across channels.
Step 2
ML models analyze spending patterns and detect anomalies.
Step 3
AI flags suspicious transactions instantly.
Step 4
Alerts are sent to compliance/security teams or blocked in real time.
Quantifiable Benefits
Reduction in fraud-related losses
%
Faster fraud detection response time
0%
Fewer false positives compared to rules-based systems
%
Improved compliance with global financial regulations
%
Who’s Using This
Mastercard AI Risk Management
PayPal real-time fraud detection
Global banks like HSBC, Citi, and SBI
Why It Matters
AI protects financial institutions and customers by staying ahead of evolving fraud patterns.
case studies
Real Results. Real Impact.
See how these use cases helped industry leaders transform operations with AI & XR.