Automatic entry validation using density based clustering

An entry validation system executed by a processor, may compare an entry into a user interface (UI) field with at least one range of valid entries. The at least one range of valid entries may be generated by a machine learning (ML) system by clustering known valid data using a clustering algorithm producing a lowest number of clusters that absorbs all of the known valid data within the clusters. In response to the comparing, the entry validation system may provide a determination of validity or invalidity to an application displaying the UI field. The determination of validity may cause the entry to be processed by the application, and the determination of invalidity may cause the application to reject the entry.