Researchers at the University of Huddersfield in the U.K. have developed Creeper, a new software program designed to protect businesses against a cybersecurity threat known as "permissions creep," which occurs when employees accrue and retain increasing numbers of permissions to gain access to an organization's file systems and directories.
Creeper uses machine learning to detect whether an employee's access to files, folders, and apps are consistent with the rest of organization.
Many organizations currently identify permissions creep via a manual audit, but Creeper is designed to speed up and secure that process.
Huddersfield's Simon Parkinson says Creeper can calculate a benchmark level of what is described as "normal," and is able to look for outliers that do not match that model. In addition, the tool could be used to improve data security practices ahead of the General Data Protection Regulation, which will go into effect in May.
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