A system comprising: a memory storing instructions; a sensitive information processor coupled to said memory, wherein said sensitive information processor is configured by said instructions to: obtain, in real time, an input specific to a transaction or a query initiation from a user, wherein said input is at least one of a speech or dual tone multi frequency (DTMF) tones corresponding to an identity associated with said user, extract, in said real time, sensitive information specific to said identity of said user from said input, and generate in said real time, a virtual user identifier corresponding to said sensitive information using a corresponding user speech model when said user performs the transaction or initiates the query for processing, wherein said virtual identifier is generated by, extracting (i) a first set of letters from said input present in said identity, and (ii) a second set of letters from said input to obtain said sensitive information, generating a remapping table based on said first set of letters and said second set of letters, and rearranging, using said remapping table, said sensitive information to generate said virtual user identifier for performing said transaction or for initiating said query for processing, wherein said virtual user identifier is specific to said transaction being performed by said user or said query initiation in said real time. a memory storing instructions; a sensitive information processor coupled to said memory, wherein said sensitive information processor is configured by said instructions to: obtain, in real time, an input specific to a transaction or a query initiation from a user, wherein said input is at least one of a speech or dual tone multi frequency (DTMF) tones corresponding to an identity associated with said user, extract, in said real time, sensitive information specific to said identity of said user from said input, and generate in said real time, a virtual user identifier corresponding to said sensitive information using a corresponding user speech model when said user performs the transaction or initiates the query for processing, wherein said virtual identifier is generated by, extracting (i) a first set of letters from said input present in said identity, and (ii) a second set of letters from said input to obtain said sensitive information, generating a remapping table based on said first set of letters and said second set of letters, and rearranging, using said remapping table, said sensitive information to generate said virtual user identifier for performing said transaction or for initiating said query for processing, wherein said virtual user identifier is specific to said transaction being performed by said user or said query initiation in said real time. obtain, in real time, an input specific to a transaction or a query initiation from a user, wherein said input is at least one of a speech or dual tone multi frequency (DTMF) tones corresponding to an identity associated with said user, extract, in said real time, sensitive information specific to said identity of said user from said input, and generate in said real time, a virtual user identifier corresponding to said sensitive information using a corresponding user speech model when said user performs the transaction or initiates the query for processing, wherein said virtual identifier is generated by, extracting (i) a first set of letters from said input present in said identity, and (ii) a second set of letters from said input to obtain said sensitive information, generating a remapping table based on said first set of letters and said second set of letters, and rearranging, using said remapping table, said sensitive information to generate said virtual user identifier for performing said transaction or for initiating said query for processing, wherein said virtual user identifier is specific to said transaction being performed by said user or said query initiation in said real time.