Inside Proximity Detection with Fingerprint's CTO

Proximity Detection is a new feature developed by Valentin Vasilyev and his team to enhance fraud prevention by identifying the location of mobile devices in a privacy-preserving manner. The system works on both Android and iOS platforms and provides a developer-friendly API that assigns a hierarchical hexagon-based proximity identifier to devices, which helps detect coordinated attacks like device farms or account takeovers. Unlike traditional methods using GPS or IP geolocation, which require specialized geospatial knowledge, Proximity Detection simplifies the process by offering precision radius adjustments and confidence levels, making it easier to track suspicious activities across various radii. Privacy is a key design consideration, as the proximity identifiers cannot be reverse-engineered to reveal actual coordinates and are unique to each customer account, ensuring that they cannot be cross-correlated. This approach enables companies to address multiple fraud scenarios effectively while adhering to privacy norms.