Fraudulent Pattern Anonymizer (FPA)
A service that analyzes failed fraud detection attempts, anonymizes the data, and aggregates it into a resource for users and financial institutions to find how exactly some fraud was detected as legitimate; thus improving their methods of detection. This acts as a crowdsourced security service, incentivizing ethical hackers and security researchers to contribute by rewarding them for identifying successful spoofing techniques.
Future Scenarios that inspired this product idea
Banks use behavioral biometrics (e.g., typing speed, mouse movements) to detect fraudulent transactions by identifying deviations from a user's typical online behavior.
Extrapolated from Personal, environmental and behavioral predictors associated with online fraud victimization among adults - Plos.org