US 12,443,623 B2
Systems and methods for asynchronous data migration
Venugopala Rao Randhi, Telangana (IN); Jyothi Gaddam, Telangana (IN); Mohan Varma Kalidindi, Telangana (IN); and Rama Venkata S. Kavali, Frisco, TX (US)
Assigned to BANK OF AMERICA CORPORATION, Charlotte, NC (US)
Filed by BANK OF AMERICA CORPORATION, Charlotte, NC (US)
Filed on Mar. 1, 2024, as Appl. No. 18/593,105.
Prior Publication US 2025/0278411 A1, Sep. 4, 2025
Int. Cl. G06F 16/27 (2019.01); G06F 16/21 (2019.01)
CPC G06F 16/273 (2019.01) [G06F 16/214 (2019.01); G06F 16/219 (2019.01)] 14 Claims
OG exemplary drawing
 
1. A system for asynchronous data migration, the system comprising:
a memory device with computer-readable program code stored thereon;
at least one processing device operatively coupled to the at least one memory device and the at least one communication device, wherein executing the computer-readable program code is configured to cause the at least one processing device to:
identify a source file data based on an update trigger for the source file data;
identify, using an artificial intelligence (AI) engine, a source file type for the source file data, wherein the AI engine identifies the source file type as a one-to one file type or a one-to-multiple file type;
determine a dataset range for the source file data to ingest to a target data file, wherein the dataset range comprises only a portion of data of the source file data; and
ingest the dataset range to the target data file,
wherein executing the computer-readable program code is configured to cause the at least one processing device to:
identify whether a security protocol is present for the source file data,
wherein, in an instance where at least one security protocol is present, identify at least one cryptographic key for the at least one security protocol, or
wherein, in an instance where at least one security protocol is not present, determine the dataset range for the source file data,
wherein an output of the source file data is aggregated to generate a dependency data for each unique identifier of the source file data,
wherein executing the computer-readable program code is further configured to cause the at least one processing device to generate, using the AI engine, a reasonableness check on the dependency data, wherein the reasonableness check is based on a reasonableness threshold for the dependency data; and
allow or disallow the dependency data associated with the unique identifier in real time based on the reasonableness check.