01
Constraint
A mid-sized retail bank was losing millions annually due to fraud and high false-positive rates in legacy systems.
All projects
Delivery case
Intelligent Fraud Shield
Built an autonomous fraud detection network for real-time banking transaction monitoring.
2024AI agents, security innovation
Measured result
- 01Fraud-related losses reduced by 74%.
- 02Detection rate reached 97%.
- 03False positive rate dropped to 0.8%.
Financial Services / Retail BankingMeasured result
02
Build logic
We developed a private-LLM-based agent network for monitoring transactions, user behavior, device signals, and anomaly patterns in real time.
03
Business movement
- Fraud-related losses reduced by 74%.
- Detection rate reached 97%.
- False positive rate dropped to 0.8%.
Fraud-related losses reduced by 74%.Detection rate reached 97%.False positive rate dropped to 0.8%.Fraud-related losses reduced by 74%.Detection rate reached 97%.False positive rate dropped to 0.8%.
