scispace - formally typeset
N

Nathan W. Heard

Publications -  8
Citations -  255

Nathan W. Heard is an academic researcher. The author has contributed to research in topics: Data processing system & Data model. The author has an hindex of 6, co-authored 8 publications receiving 255 citations.

Papers
More filters
Patent

Data processing systems for generating and populating a data inventory for processing data access requests

TL;DR: In this article, 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 respective data inventory for each of the one ormore data assets; and (3) map relationships between aspects of the data inventory, the data assets, etc. within the data model.
Patent

Data processing and scanning systems for generating and populating a data inventory

TL;DR: In this paper, a data processing data inventory generation system is configured to generate a data model (e.g., a data inventory) for one or more data assets utilized by a particular organization.
Patent

Data processing systems for identifying, assessing, and remediating data processing risks using data modeling techniques

TL;DR: In this paper, a system may be configured to substantially automatically determine whether to take one or more actions in response to identified risk triggers (e.g., data breaches, regulation change, etc.).
Patent

Data processing systems for webform crawling to map processing activities and related methods

TL;DR: In this paper, a Data Access Webform Crawling System is configured to identify a webform used to collect one or more pieces of personal data; robotically complete the identified webform; and analyze the completed webform to determine one of the processing activities that utilize the one or multiple pieces of Personal Data collected by the webform.
Patent

Data processing systems for generating and populating a data inventory

TL;DR: In this article, 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 the respective data inventory for each of the data assets; and (3) map relationships between aspects of the model, the data asset, etc. within the model.