Abstract: Methods, apparatus, and systems for detection and remediation of an identified attempt of impersonation of a digital entity. The methods may include authenticating a call received by a user device. The methods may include instantiating an entity-operated application on the user device. The methods may include detecting one or more keywords indicating that the call is associated with a predefined entity. The methods may include generating and transmitting a one-time token to the predefined entity. The methods may include identifying, during the call, a first voice and a second voice, the second voice being different from the first voice. The methods may include processing words identified as being uttered by the second voice into groups of text utterances using a natural language processing (“NLP”) model. The methods may include detecting, during a predetermined time period, if any text utterances from the groups of text utterances correspond to the one-time token.

Abstract: Methods, apparatus, and systems for detection and remediation of an identified attempt of impersonation of a digital entity. The methods may include authenticating a call received by a user device. The methods may include instantiating an entity-operated application on the user device. The methods may include detecting one or more keywords indicating that the call is associated with a predefined entity. The methods may include generating and transmitting a one-time token to the predefined entity. The methods may include identifying, during the call, a first voice and a second voice, the second voice being different from the first voice. The methods may include processing words identified as being uttered by the second voice into groups of text utterances using a natural language processing (“NLP”) model. The methods may include detecting, during a predetermined time period, if any text utterances from the groups of text utterances correspond to the one-time token.

Abstract: A one-way data migration system may shift authentication data from a legacy database to a current database. The system may include one or more databases, a mobile device, a mobile device processor, a backend server, a backend receiver, a backend processor, and a backend transmitter. The backend transmitter may transmit requests to the mobile device. The backend receiver may receive the usernames and passwords. The backend processor may authenticate the input usernames and passwords using a hash previously stored within a first database. The backend processor may create a current or updated hash for the password. The system may change the underlying pathway from a pathway associated with the hash previously stored within the first database to a current pathway associated with the current hash. A second database may store the current hash. Following storage of the current hash, the processor may flag the username and/or password as migrated.

Abstract: The invention described herein provides a load engine and method for efficiently accomplishing mass conversions of customer data into an existing customer database. In particular, the method incorporates existing business rules for validating new customer data and for creating tables for the new customer data, creates load files for the new customer data, and provides a means for running multi-threaded data loads of the new customer data tables onto an existing customer database.

Abstract: The invention described herein provides a load engine and method for efficiently accomplishing mass conversions of customer data into an existing customer database. In particular, the method incorporates existing business rules for validating new customer data and for creating tables for the new customer data, creates load files for the new customer data, and provides a means for running multi-threaded data loads of the new customer data tables onto an existing customer database. The disclosure further provides a method for gathering data regarding the status of a data load or conversion and creating a user interface for tracking the progress of a specific data load.

Abstract: The invention described herein provides a load engine and method for efficiently accomplishing mass conversions of customer data into an existing customer database, such as an IBM® Websphere® Customer Center (WCC). In particular, the method incorporates existing business rules for validating new customer data and for creating tables for the new customer data, creates load files for the new customer data, and provides a means for running multi-threaded data loads of the new customer data tables onto an existing customer database.

Abstract: The invention described herein provides a load engine and method for efficiently accomplishing mass conversions of customer data into an existing customer database, such as an IBM® Websphere® Customer Center (WCC). In particular, the method incorporates existing business rules for validating new customer data and for creating tables for the new customer data, creates load files for the new customer data, and provides a means for running multi-threaded data loads of the new customer data tables onto an existing customer database. The disclosure further provides a method for gathering data regarding the status of a data load or conversion and creating a user interface for tracking the progress of a specific data load.