As mobile transactions continue to dominate digital commerce, financial institutions and fintechs are searching for more effective ways to identify fraud without adding friction for legitimate users. Incognia’s new location-based behavioral biometrics platform takes a different approach, using historical and real-time location patterns to establish a reputation score for mobile users. The launch highlights the growing interest in passive authentication tools that operate in the background, though it also underscores the challenges facing behavioral biometrics providers, including integration complexity and the lack of standardized methods for measuring performance and accuracy.
Incoginia has launched a new behavioral biometrics platform, this one focused on reputational rating based on historical and current location data. There are at least two challenges associated with introducing a new behavioral biometric product. First, most products, such as this one, perform a very specific function that is so narrow that it needs to be integrated into other solutions to solve more complex use cases. Second, it is very hard to rate and compare the accuracy of products that are based on behavioral biometrics. Without a standard testing methodology to determine and compare False Acceptance Rates or False Rejection Rates, we are left to rely on supplier data or live testing:
“Incognia, a private identity company, has announced the launch of its location-based behavioural biometrics solution developed to combat rising rates of mobile fraud. The new solution comes as Incognia welcomes Paula Skokowski into the role of Chief Marketing Officer.
In 2019, 93% of all mobile transactions. As the volume of mobile transactions growth escalates with the global mobile payments market reaching $4.7 T by 2025, fraudsters remain eager to capitalise. With fraud techniques continually evolving, existing static solutions such as passwords and knowledge questions are unable to provide users with requires security.
Incognia, through its solution launch, is providing a new frictionless weapon for enhanced fraud detection and prevention. It’s Anti-fraud SDK and APIs enhance identity verification and authentication for banks, FinTechs and retailers with mobile applications. Working in the background, it builds a unique location fingerprint for each mobile user, without capturing or storing any PII, to create a private digital identity.”
Incognia’s location intelligence platform reflects the broader evolution of fraud prevention toward continuous, behavior-based authentication. By creating unique location fingerprints without storing personally identifiable information, the company aims to help banks, fintechs, and retailers strengthen fraud defenses while maintaining a seamless user experience. However, as with many behavioral biometric solutions, widespread adoption will depend not only on effectiveness in real-world deployments but also on the industry’s ability to establish consistent benchmarks for evaluating accuracy, false positives, and false negatives across competing technologies.
Overview provided by Tim Sloane, VP, Payments Innovation at Mercator Advisory Group.
