Bank Reduces Fraud Losses by 45% with Autonomous Detection
A major bank implemented autonomous fraud detection using real-time behavioral signals, achieving significant reductions in fraud losses while improving customer experience.
The Challenge
The bank faced increasing fraud losses and customer complaints about false positive alerts that blocked legitimate transactions.
- High fraud losses across multiple channels
- 60% false positive rate causing customer friction
- Manual review processes causing transaction delays
- Reactive fraud detection missing sophisticated attacks
- Customer complaints about blocked legitimate transactions
The Solution
Implemented agentic AI that monitors transactions in real-time and takes immediate protective actions based on behavioral anomalies.
- 1Real-time transaction monitoring across all channels
- 2Behavioral baseline establishment for each customer
- 3Autonomous blocking and alert systems
- 4Risk-based authentication workflows
- 5Continuous model improvement based on outcomes
NakedSignal's real-time behavioral intelligence platform
The Results
Significant improvements in fraud prevention while enhancing customer experience.
Early detection prevented significant financial losses
Improved accuracy reduced customer friction
Sub-second fraud detection and response
Reliable protection for mission-critical operations
"The autonomous fraud detection has been a game-changer. We're stopping more fraud while dramatically reducing false positives that frustrate our customers."
Technical Implementation
- Real-time transaction stream processing
- Behavioral pattern recognition AI
- Autonomous response systems
- Risk scoring and threshold management
- Continuous learning and model updates
- Core banking systems
- Payment processing platforms
- Customer authentication systems
- Risk management tools
- Fraud investigation workflows