System for secured electronic data access through machine-learning based analysis of combined access authorizations

A computer program product for secured electronic data access through machine-learning based analysis of combined access authorizations, the computer program product comprising at least one non-transitory computer readable medium having computer-readable program code portions embodied therein, the computer-readable program code portions comprising executable portions for:

• continuously monitoring one or more data intelligence feeds;
• connecting to an access authorization database, wherein the access authorization database comprises one or more data records associated with secured data, wherein the one or more data records comprises an indicator of one or more third party systems that are authorized to access the secured data;
• detecting, based on a first third party system being authorized to access a first subset of the secured data and a second third party system being authorized to access a second subset of the secured data, that a combination of the first subset of the secured data and the second subset of the secured data creates an unauthorized combination of secured data;
• computing, based on the one or more data intelligence feeds and the one or more data records within the access authorization database, a probability score and an impact score associated with a future event, wherein the future event comprises the combination of the first subset of the secured data and the second subset of the secured data;
• and
• based on the probability score and the impact score, executing one or more remediation processes on the first subset of the secured data or the second subset of the secured data.

A computer-implemented method for secured electronic data access through machine-learning based analysis of combined access authorizations, the computer-implemented method comprising:

• continuously monitoring one or more data intelligence feeds;
• connecting to an access authorization database, wherein the access authorization database comprises one or more data records associated with secured data, wherein the one or more data records comprises an indicator of one or more third party systems that are authorized to access the secured data;
• detecting, based on a first third party system being authorized to access a first subset of the secured data and a second third party system being authorized to access a second subset of the secured data, that a combination of the first subset of the secured data and the second subset of the secured data creates an unauthorized combination of secured data;
• computing, based on the one or more data intelligence feeds and the one or more data records within the access authorization database, a probability score and an impact score associated with a future event, wherein the future event comprises the combination of the first subset of the secured data and the second subset of the secured data;
• and
• based on the probability score and the impact score, executing one or more remediation processes on the first subset of the secured data or the second subset of the secured data.