Abstract: Techniques are described for performing intelligence on supply chains used by organizations. A system performs a risk assessment of a labor supply chain of a particular organization by accessing, from a database, a first set of coded confidential labor supply chain data for the particular organization and a second set of coded confidential labor supply chain data for other organizations that are different from the particular organization. The system analyzes a combination of the first set of data and the second set of data to assess whether risks exist within the labor supply chain of the particular organization. Based on the analysis, the system generates a risk report for the labor supply chain data of the particular organization by desensitizing at least a portion of the second set of data for inclusion in the risk report and integrating the desensitized portion of the second set of data with confidential labor supply chain data of the particular organization.
Type:
Grant
Filed:
June 19, 2018
Date of Patent:
April 12, 2022
Assignee:
Verité
Inventors:
Erin Elizabeth Klett, Daniel A. Viederman, Shawn Andrew MacDonald, Declan G. Croucher, Justine Nelson Shakespeare