Risk-based authentication (RBA) plays a critical role in detecting and preventing fraud. The challenge for financial institutions, however, is doing so without slowing down trusted customers.
That’s where dynamic risk conditions come in. By evaluating risk based on a user’s unique interactions over time, historical behavior becomes context, helping distinguish normal activity from AI-driven scams and potential fraud.
At Entersekt, dynamic risk conditions are embedded into our RBA model, combining behavioral, device, and transaction intelligence to secure every digital banking interaction.
Enable smarter risk decisions — powered by Entersekt.