NetApp. has been granted a patent for methods and systems that secure unstructured data. The technology involves generating a schema to identify and anonymize sensitive relationships among named entities, ensuring sensitive data is protected by replacing it with generalized information. GlobalData’s report on NetApp gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on NetApp, Decentralized data stores was a key innovation area identified from patents. NetApp's grant share as of June 2024 was 73%. Grant share is based on the ratio of number of grants to total number of patents.
Securing and anonymizing unstructured data relationships
The patent US12045374B2 outlines a method and system for processing unstructured data to identify and anonymize sensitive information related to named entities. The process begins with a processor identifying a first set of semantic relationships among named entities based on a syntactic constraint. A second constraint, which can be lexical, is then applied to filter out over-specified relationships, resulting in a subset. The method further involves determining sensitive relationships within this subset, associating sensitive attributes with quasi-attributes, and generating a schema that links named entities to their sensitive data in a relational structure. This schema is utilized to anonymize the sensitive data by replacing certain portions with generalized information and suppressing others.
Additionally, the patent describes the storage of unstructured data with the modified sensitive information and the use of K-anonymization techniques to ensure that sensitive data appears in at least 'k' tuples, enhancing privacy. The claims also include provisions for representing named entities and sensitive data as relational tuples and suggest that the quasi-attributes may include identifiers that link to relationship tuples. The non-transitory machine-readable storage medium and the system described are designed to execute the aforementioned methods, ensuring a structured approach to managing sensitive data while maintaining compliance with privacy standards.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
