Determining security risks associated with an access design based on access health scores

Abstract

A system automatically detects unnecessary reader access granted to identities and suggest changes required to bring down the security risk level of an organization. With ever increasing digitization of physical infrastructure, it is not possible to manually monitor and decide who should be able to access what and when, which makes it difficult to ensure that identities have access to just enough readers to fulfill their duties. The system makes sure that all the identities' access is monitored all the time and any vulnerabilities are detected and reported in time, in the form of health score, which is then used to recommend mitigation measures. The system leverages statistical algorithms to produce access recommendations and is replicable in the form of a software interface that can be used in any business/organization or structured work group where identities need to use readers to operate.

CPC Classifications