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Data processing systems and methods for efficiently assessing the risk of privacy campaigns

  • US 10,706,131 B2
  • Filed: 12/02/2019
  • Issued: 07/07/2020
  • Est. Priority Date: 06/10/2016
  • Status: Active Grant
First Claim
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1. A computer-implemented data processing method for efficiently assessing the risk associated with a privacy campaign, the method comprising:

  • receiving, by one or more computer processors, an audited privacy template, wherein the audited privacy template has been audited for compliance with one or more privacy standards, and wherein the audited privacy template comprises a plurality of question/answer pairings regarding a particular vendor, product, or service to be used as part of the privacy campaign;

    receiving, by one or more computer processors, analysis of one or more data records associated with the particular vendor, product, or service;

    identifying, by one or more computer processors, a particular weighting factor for each question/answer pairing of the plurality of question/answer pairings;

    determining, by one or more computer processors, a relative risk rating for each question/answer pairing of the plurality of question/answer pairings based on the respective particular weighting factor for each question/answer pairing of the plurality of question/answer pairings;

    electronically calculating, by one or more computer processors, an overall risk rating for the particular vendor, product, or service based upon the relative risk rating for each question/answer pairing of the plurality of question/answer pairings and the analysis of the one or more data records;

    determining whether the overall risk rating for the particular vendor, product, or service satisfies certain pre-determined criteria; and

    in response to determining that the overall risk rating for the particular vendor, product, or service does not satisfy the pre-determined criteria, generating an alert to a user indicating that the overall risk rating for the particular vendor, product, or service does not satisfy the pre-determined criteria.

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