Secure authentication: as much as necessary, as little as possible
The Risk Score Service for Risk Based Authentication revolutionizes the way companies design their authentication methods for maximum user convenience.
The sorbay_RISK SCORE – Risk Score Service is a cloud-based, advanced approach to risk detection based on intelligent machine learning. This service enables dynamic and context-dependent authentication that adapts to the individual behavior of each user.
sorbay_RISK SCORE calculates the probability that it is actually the specified user. By implementing sorbay_RISK SCORE, companies not only minimize the risk of unauthorized access, but also meet regulatory compliance requirements. It also leads to an improved user experience and loyalty by ensuring secure and optimized digital interaction.
How does it work?
Our Risk Score service combines various factors, such as location, device, time, IP address and much more.
Example
sorbay_RISK SCORE recognizes that Ms. Meier is in the office, it is 11:25 a.m. and she is in Europe – in Switzerland, to be precise. She is using the device with the same IP address as always. These factors are used to create a tailored risk score that calculates the probability that it is Ms. Meier. Conversely, it rules out an attack or fraud. The lower the risk score, the easier it is for Ms. Meier to authenticate. This means that Ms. Meier is not explicitly asked for a second factor based on these factors – everything is automatic and secure.
With sorbay_RISK SCORE a login service can dynamically select the optimal authentication mechanism. The login service used, such as the USP Secure Entry Server®, can take different measures based on this evaluation.
By the way, sorbay_RISK SCORE can also be integrated quickly and easily with Keycloak.