US 12,292,992 B2
Data swapping using a categorized data mesh
Manu Kurian, Dallas, TX (US); and Ganesh Bonda, Weddington, NC (US)
Assigned to Bank of America Corporation, Charlotte, NC (US)
Filed by Bank of America Corporation, Charlotte, NC (US)
Filed on May 24, 2023, as Appl. No. 18/201,515.
Prior Publication US 2024/0394391 A1, Nov. 28, 2024
Int. Cl. G06F 21/62 (2013.01); G06F 16/906 (2019.01)
CPC G06F 21/6218 (2013.01) [G06F 16/906 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A method for dynamic data swapping in a categorized data mesh, the method comprising:
receiving raw data at a node, the raw data comprising one or more datasets;
classifying the raw data at a data classification engine, the data classification engine executing an artificial intelligence (“AI”) model, the classifying comprising;
separating the raw data into the one or more datasets;
determining a data categorization for each dataset, the data categorization corresponding to a domain; and
assigning to each of the one or more datasets:
an access level corresponding to a level of obtainability of the data;
a control setting corresponding to a rating of manageability of the data; and
a data value corresponding to a ranking of usefulness of the data;
computing a data grade for each of the one or more datasets, the computing based on a combination of the assigned access level, the control setting, and the data value;
assigning the computed data grade to each of the datasets;
tagging each dataset with a security clearance level;
storing each dataset at a location in a data mesh that corresponds to:
the determined data categorization;
the assigned data grade; and
the tagged security clearance level;
determining a resource consumption metric (“RCM”) for each of the datasets based at least in part on the data grade and security level; and
storing the determined RCM and tagged security level in a metadata associated with each dataset.