When it comes to fraud prevention and authentication, behavioral biometrics provides is a single, static form of intelligence attainment. So why not maximize your intelligence sets? The Beyond Behavioral Biometrics white papers outlines the limitations of behavioral biometrics and the need for multi-layered, multiple data sets to tackle fraud mobile fraud prevention at scale.
The “mobile first” phenomenon has created a perfect storm of challenges and opportunities for businesses that want to win market share, keep customers happy and deter fraud.
How can businesses deliver an amazing experience while also verifying the identity of the person on the other end? These are the questions answered by Paygilant in this white paper.
The EU is becoming more vigilant against fraud involving non-cash payments, including mobile transactions, online transactions, and credit cards. It recently (April 2019) passed a regulation that updates existing edicts to ensure that a strong, and technology-agnostic legal framework is in place.
The overview document showcases Paygilant’s Mobile fraud detection and prevention solution, referring to specific use cases, product architecture and solution benefits.
Although, mobile payments using behavioral biometrics authentication is comparatively a new concept, its acceptance and adoption in the marketplace has been relatively quick.
What makes behavioral-based authentication so revered are the unique binary identifiers that are associated with biometrics. However, what makes it so attractive may also be a weakest link.