Predicted data use obligation match using data differentiators

Abstract

Embodiments provide for predicted data use obligation matching using data differentiators. Embodiments retrieve one or more logical data record set identifiers associated with an intended use request. For each unique logical data record set identifier of the one or more logical data record set identifiers, a cross-link relationship graph structure comprising a plurality of cross-link relationship graph nodes and a plurality of cross-link relationship graph edges is traversed. Based at least in part on a separation measure associated with each cross-link relationship of one or more cross-link relationships associated with the unique logical data record set identifier, one or more data use obligation scores are generated for the unique logical data record set identifier. An aggregated data use obligation score is generated based at least in part on aggregating the one or more data use obligation scores for each of the unique logical data record set identifiers of the one or more logical data record set identifiers associated with the intended use request. Upon determining that the aggregated data use obligation score is below a risk threshold, the intended use request may be granted.