Snowflake inc. (20240354437). DATABASE REDACTION FOR SEMI-STRUCTURED AND UNSTRUCTURED DATA simplified abstract
Contents
DATABASE REDACTION FOR SEMI-STRUCTURED AND UNSTRUCTURED DATA
Organization Name
Inventor(s)
Carl Yates Perry of Burlingame CA (US)
Raghavendran Ramakrishnan of Kirkland WA (US)
Frantisek Rolinek of Seattle WA (US)
Yunqiao Zhang of Bellevue WA (US)
DATABASE REDACTION FOR SEMI-STRUCTURED AND UNSTRUCTURED DATA - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240354437 titled 'DATABASE REDACTION FOR SEMI-STRUCTURED AND UNSTRUCTURED DATA
The present disclosure describes systems, methods, and computer program products for redacting sensitive data within a database. An example method involves sending a data query to a database accessing a column, a masking policy identifying categories of sensitive data, and receiving redacted data in response to the query.
- Sending data query to a database
- Accessing a column of the database
- Masking policy identifying sensitive data categories
- Redacting sensitive data from different locations in the column
Potential Applications: - Data security and privacy protection in databases - Compliance with data protection regulations - Secure data sharing within organizations
Problems Solved: - Preventing unauthorized access to sensitive data - Ensuring compliance with data privacy laws - Reducing the risk of data breaches
Benefits: - Enhanced data security - Improved compliance with regulations - Minimized risk of data exposure
Commercial Applications: Title: Secure Data Redaction Technology for Enhanced Privacy Protection This technology can be used in industries such as healthcare, finance, and government where data privacy and security are critical. It can also be valuable for companies handling large volumes of sensitive data.
Questions about Secure Data Redaction Technology: 1. How does this technology compare to traditional data masking techniques? 2. What are the potential challenges in implementing this technology in large-scale databases?
Frequently Updated Research: Stay updated on the latest advancements in data redaction technology to ensure optimal data security and compliance with regulations. Regularly review industry publications and attend relevant conferences to stay informed on best practices.
Original Abstract Submitted
the present disclosure describes systems, methods, and computer program products for redacting sensitive data within a database. an example method can include sending, to a database, a data query accessing a column of the database, a masking policy identifying a first category of sensitive data and a second category of sensitive data, and in response to the data query, receiving redacted data, wherein the first category of sensitive data is redacted from a first location of the column by a first redaction operation and the second category of sensitive data is redacted from a second location of the column by a second redaction operation.
