Implemented advanced AI systems to detect and prevent fraud while optimizing risk management.
$1.5M
Savings
Data is collected from multiple sources including transactions, user behavior, and external databases.
AI models analyze the data to detect unusual patterns that may indicate fraudulent activity.
Alerts are generated and sent to the relevant teams for further investigation and action.
Month | Fraud Detected | False Positives | Accuracy |
---|---|---|---|
January | 120 | 15 | 92% |
February | 135 | 18 | 91% |
March | 150 | 20 | 90% |
April | 165 | 22 | 89% |
May | 180 | 25 | 88% |