COMPUTER-BASED SYSTEMS CONFIGURED TO AUTOMATICALLY PROGRAM A PLURALITY OF CONTROLS TO MODIFY A COMMUNICATION SESSION ASSOCIATED WITH A TRANSACTION AND METHODS OF USE THEREOF

1 . A computer implemented method comprising:

utilizing, by the at least one processor, a processing module to determine input data;

identifying, by the at least one processor, via a trained machine learning module, a pattern of behavior associated with at least one type of data over a predetermined period of time;

converting, by the at least one processor, the input data of a particular data type into a uniform secure data state based on an established baseline associated with the pattern of behavior to form a converted input data, wherein the uniform secure data state maintains a unique salt value for the particular type of data and a uniform hashing value for a plurality of types of data capable of being exchanged;

dynamically enabling, by the at least one processor, a communication session between at least two security modules based on a dynamic bus architecture associated with each security module;

orchestrating, by the at least one processor, a delay within the communication session between the at least two security modules based on the converted input data and a plurality of thresholds associated with the pattern of behavior associated with each type of data, the delay comprising at least one pause in transmissions of the communication session for a period of time in which the converted input data meets at least one predetermined threshold of the plurality of thresholds based at least in part on the pattern of behavior of each type of data;

automatically programming, by the at least one processor, a plurality of controls to modify the communication sessions based on the delay associated with the at least one predetermined threshold; and

automatically executing, by the at least one processor, the communication session based on the delay, wherein the delay is orchestrated using a trained machine learning module to optimize the timing of the communication session based on thresholds associated with the pattern of behavior of one or more types of data.

2 . The method of claim 1 , wherein the processing module comprises determining a plurality of types of data and respective values in real-time for each type of data.

3 . The method of claim 1 , wherein a first security module of the plurality of security modules transmits a data packet associated with the uniform secure data state to a second security module of the plurality of security modules.

4 . The method of claim 1 , wherein the plurality of controls comprise at least one control associated with a time of the type of data and at least one control associated with a value of the type of data.

5 . The method of claim 1 , wherein the plurality of thresholds are based on the respective type and value of data associated with the input data.

6 . The method of claim 1 , further comprising:

generating, by the at least one processor, a notification detailing a conversion displayed via a graphic user interface housed on the computing device associated with the user;

utilizing, by the at least one processor, an operations console device to instruct subsequent transactions based on the conversion of the verified input data;

receiving, by the at least one processor, a second instruction via the computing device;

utilizing, by the at least one processor, a rules engine to collect market input to modify the converted input data to match market output data based on an established baseline associated with the output of the previous transaction; and

generating, by the at least one processor, a printed notification detailed modified input data based on the market output data.

7 . The method of claim 6 , wherein a service works engine generates the notification detailing the conversion.

8 . A non-transitory computer-readable storage medium tangibly encoded with computer-executable instructions, that when executed by a device, perform a method comprising:

utilizing, by the at least one processor, a processing module to determine input data;

identifying, by the at least one processor, a pattern of behavior associated with each type of data over a predetermined period of time;

converting, by the at least one processor, the input data of a particular data type into a uniform secure data state based on an established baseline associated with the pattern of behavior to form a converted input data, wherein the uniform secure data state maintains a unique salt value for the particular type of data and a uniform hashing value for a plurality of types of data capable of being exchanged;

dynamically enabling, by the at least one processor, a communication session between at least two security modules based on a dynamic bus architecture associated with each security module;

orchestrating, by the at least one processor, a delay within the communication session between the at least two security modules based on the converted input data and a plurality of thresholds associated with pattern of behavior associated with each type of data, the delay comprising at least one pause in transmissions of the communication session for a period of time in which the converted input data meets a predetermined threshold;

automatically programming, by the at least one processor, a plurality of controls to modify the communication sessions based on the delay associated with the at least one predetermined threshold;

automatically executing, by the at least one processor, the communication session based on the delay in relation to the trained machine learning module, wherein the delay is orchestrated using a trained machine learning module to optimize the timing of the communication session based on thresholds associated with the pattern of behavior of one or more types of data.

9 . The non-transitory computer-readable storage medium of claim 8 , wherein the processing module comprises determining a plurality of types of data and respective values in real-time for each type of data.

10 . The non-transitory computer-readable storage medium of claim 8 , wherein a first security module of the plurality of security modules transmits a data packet associated with the uniform secure data state to a second security module of the plurality of security modules.

11 . The non-transitory computer-readable storage medium of claim 8 , wherein the plurality of controls comprise at least one control associated with a time of the type of data and at least one control associated with a value of the type of data.

12 . The non-transitory computer-readable storage medium of claim 8 , wherein the plurality of thresholds are based on the respective type and value of data associated with the input data.

13 . The non-transitory computer-readable storage medium of claim 8 , further comprising:

generating, by the at least one processor, a notification detailing a conversion displayed via a graphic user interface housed on the computing device associated with the user;

utilizing, by the at least one processor, an operations console device to instruct subsequent transactions based on the conversion of the verified input data;

receiving, by the at least one processor, a second instruction via the computing device;

utilizing, by the at least one processor, a rules engine to collect market input to modify the converted input data to match market output data based on an established baseline associated with the output of the previous transaction; and

generating, by the at least one processor, a printed notification detailed modified input data based on the market output data.

14 . The non-transitory computer-readable storage medium of claim 13 , wherein a service works engine generates the notification detailing the conversion.

15 . A system comprising:

a non-transient computer memory, storing software instructions;

at least one processor of a computing device associated with a user;

wherein, when the at least one processor executes the software instructions, the computing device is programmed to:

utilize a processing module to determine input data;

identify via a trained machine learning module, a pattern of behavior associated with each type of data over a predetermined period of time;

convert the input data of a particular data type into a uniform secure data state based on an established baseline associated with the pattern of behavior to form a converted input data, wherein the uniform secure data state maintains a unique salt value for the particular type of data and a uniform hashing value for a plurality of types of data capable of being exchanged;

dynamically enable a communication session between at least two security modules based on a dynamic bus architecture associated with each security module;

orchestrate a delay within the communication session between the at least two security modules based on the converted input data and a plurality of thresholds associated with the pattern of behavior associated with each type of data, the delay comprising at least one pause in transmissions of the communication session for a period of time in which the converted input data meets at least one predetermined threshold of the plurality of thresholds based at least in part on the pattern of behavior of each type of data;

automatically program a plurality of controls to modify the communication sessions based on the delay associated with the at least one predetermined threshold of the plurality of thresholds; and

automatically execute the communication session based on the delay in relation to the trained machine learning module.

16 . The system of claim 15 , wherein the processing module comprises determining a plurality of types of data and respective values in real-time for each type of data.

17 . The system of claim 15 , wherein a first security module of the plurality of security modules transmits a data packet associated with the uniform secure data state to a second security module of the plurality of security modules.

18 . The system of claim 15 , wherein the plurality of controls comprise at least one control associated with a time of the type of data and at least one control associated with a value of the type of data.

19 . The system of claim 15 , wherein the plurality of thresholds are based on the respective type and value of data associated with the input data.

20 . The system of claim 15 , wherein the software instructions further comprise:

generate a notification detailing a conversion displayed via a graphic user interface housed on the computing device associated with the user;

utilize an operations console device to instruct subsequent transactions based on the conversion of the verified input data;

receive a second instruction via the computing device;

utilize a rules engine to collect market input to modify the converted input data to match market output data based on an established baseline associated with the output of the previous transaction; and

generate a printed notification detailed modified input data based on the market output data.