20240012793. Method and System for Managing and Securing Subsets of Data in a Large Distributed Data Store simplified abstract (Dataguise, Inc.)

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Method and System for Managing and Securing Subsets of Data in a Large Distributed Data Store

Organization Name

Dataguise, Inc.

Inventor(s)

Subramanian Ramesh of San Jose CA (US)

Jaspaul Singh Chahal of Fremont CA (US)

Method and System for Managing and Securing Subsets of Data in a Large Distributed Data Store - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240012793 titled 'Method and System for Managing and Securing Subsets of Data in a Large Distributed Data Store

Simplified Explanation

The abstract of the patent application describes a system that groups multiple entities in a distributed data store into a subset called a domain. This domain is treated as a unit for defining policies to detect and treat sensitive data. Sensitive data can be defined by an enterprise or industry and can be quarantined, masked, or encrypted. Data in a domain can be copied as a unit, with or without the same structure, and with transformations such as masking or encryption, into parts of the same data store or to a different data store. Domains can be used for access control and can have assigned tags for identification purposes.

  • The patent application describes a system that groups entities in a distributed data store into domains.
  • Domains are treated as units for defining policies to handle sensitive data.
  • Sensitive data can be quarantined, masked, or encrypted.
  • Data in a domain can be copied with or without the same structure and with transformations.
  • Domains can be used for access control and have assigned tags for identification purposes.

Potential applications of this technology:

  • Data security and privacy management in large distributed data stores.
  • Compliance with industry or enterprise-specific regulations regarding sensitive data.
  • Efficient data copying and transformation processes within a distributed data store.

Problems solved by this technology:

  • Difficulty in managing and securing sensitive data in large distributed data stores.
  • Ensuring compliance with data protection regulations.
  • Streamlining data copying and transformation processes.

Benefits of this technology:

  • Improved data security and privacy management.
  • Enhanced compliance with data protection regulations.
  • Efficient and flexible data copying and transformation capabilities within a distributed data store.


Original Abstract Submitted

a system groups multiple entities in a large distributed data store (dds), such as directories and files, into a subset called a domain. the domain is treated as a unit for defining policies to detect and treat sensitive data. sensitive data can be defined by enterprise or industry. treatment of sensitive data may include quarantining, masking, and encrypting, of the data or the entity containing the data. data in a domain can be copied as a unit, with or without the same structure, and with transformations such as masking or encryption, into parts of the same dds or to a different dds. domains can be the unit of access control for organizations, and assigned tags useful for identifying their purpose, ownership, location, or other characteristics. policies and operations, assigned at the domain level, may vary from domain to domain, but within a domain are uniform, except for specific exclusions.