Data processing and scanning systems for generating and populating a data inventory
First Claim
1. A computer-implemented data processing method for scanning one or more data repositories to identify one or more attributes of data associated with one or more individuals, the method comprising:
- connecting, by one or more processors, via one or more computer networks, to one or more databases;
scanning, by one of more processors, the one or more databases to generate a catalog of one or more individuals and one or more pieces of personal information associated with the one or more individuals;
storing the catalog in computer memory;
scanning one or more data repositories based at least in part on the generated catalog to identify one or more attributes of data associated with the one or more individuals by searching one or more data fields in the one or more databases for the one or more pieces of personal information;
analyzing and correlating the one or more attributes and metadata for the scanned one or more data repositories;
using one or more machine learning techniques to categorize one or more data elements from the generated catalog;
analyzing a flow of the one or more data elements between the one or more data repositories and at least one known data asset;
categorizing the one or more data elements based on a confidence score;
receiving input from one or more users confirming or denying a categorization of the one or more data elements; and
in response to receiving the input, modifying the confidence score.
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Accused Products
Abstract
In particular embodiments, a data processing data inventory generation system is configured to: (1) generate a data model (e.g., a data inventory) for one or more data assets utilized by a particular organization; (2) generate a respective data inventory for each of the one or more data assets; and (3) map one or more relationships between one or more aspects of the data inventory, the one or more data assets, etc. within the data model. In particular embodiments, a data asset (e.g., data system, software application, etc.) may include, for example, any entity that collects, processes, contains, and/or transfers personal data (e.g., such as a software application, “internet of things” computerized device, database, website, data-center, server, etc.). The system may be configured to identify particular data assets and/or personal data in data repositories using any suitable intelligent identity scanning technique.
589 Citations
17 Claims
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1. A computer-implemented data processing method for scanning one or more data repositories to identify one or more attributes of data associated with one or more individuals, the method comprising:
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connecting, by one or more processors, via one or more computer networks, to one or more databases; scanning, by one of more processors, the one or more databases to generate a catalog of one or more individuals and one or more pieces of personal information associated with the one or more individuals; storing the catalog in computer memory; scanning one or more data repositories based at least in part on the generated catalog to identify one or more attributes of data associated with the one or more individuals by searching one or more data fields in the one or more databases for the one or more pieces of personal information; analyzing and correlating the one or more attributes and metadata for the scanned one or more data repositories; using one or more machine learning techniques to categorize one or more data elements from the generated catalog; analyzing a flow of the one or more data elements between the one or more data repositories and at least one known data asset; categorizing the one or more data elements based on a confidence score; receiving input from one or more users confirming or denying a categorization of the one or more data elements; and in response to receiving the input, modifying the confidence score. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A data processing intelligent data repository scanning system comprising:
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one or more processors; computer memory; and a computer-readable medium storing computer-executable instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising; connecting the data processing intelligent data repository scanning system to one or more remote computing devices; scanning one or more data repositories on the one or more remote computing devices to identify one or more data attributes; analyzing the one or more data attributes and correlate metadata for the scanned one or more data repositories with particular attributes of the one or more data attributes discovered in the one or more data repositories; using one or more machine learning techniques to categorize one or more data elements based at least in part on a confidence score; analyzing a data flow of the particular data attributes between the one or more data repositories; and storing the categorized one or more data elements and the data flow in the computer memory, wherein; analyzing the one or more data attributes and correlating metadata for the scanned one or more data repositories with the particular attributes of the one or more data attributes discovered in the one or more data repositories comprises retrieving schema details for each of the one or more data attributes from the scanned one or more data repositories; the schema details comprise one or more schema details selected from a group consisting of; an asset ID; a Schema ID; and a connection string; and the computer-readable medium further stores computer-executable instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising identifying and storing a location of any slipcovered data assets discovered from the scanned one or more data repositories. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17)
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Specification