Pro-active anomaly detection using metadata-based preview of multi-level token mix-up data augmentation

A method for managing transaction data across a plurality of applications in a multi-application environment, the method comprising:

• receiving, by a quantum cloud-based processing system, transaction data and associated metadata from a source application, wherein the transaction data comprises a plurality of data elements and the associated metadata describes attributes of the data elements;
• encrypting, by an encryption module within the quantum cloud-based processing system, the transaction data and associated metadata using a dynamically generated quantum encryption key, wherein the quantum encryption key is generated based on the attributes of the transaction data and associated metadata;
• querying, by a querying module within the quantum cloud-based processing system, each application in a transaction path defined by the transaction data to retrieve data structure requirements and metadata specifications for each application, wherein secure communication channels are established with each application using the quantum encryption key to prevent unauthorized access to the transaction data and associated metadata during the querying;
• establishing, by a data lineage module within the quantum cloud-based processing system, a hierarchical map of transformations, translations, and metadata alterations for the transaction data, wherein the hierarchical map is dynamically updated based on responses received from the plurality of applications in the transaction path;
• tokenizing, by a tokenization module within the quantum cloud-based processing system, the transaction data and associated metadata into a plurality of tokens, wherein each token represents a data element and its associated metadata and is assigned a unique identifier to enable precise tracking and mapping of data elements through the transaction path;
• performing, by a data augmentation module within the quantum cloud-based processing system, multi-level token mix-up data augmentation on the plurality of tokens to generate augmented tokens, wherein the multi-level token mix-up comprises combining existing tokens with newly created tokens based on the data structure requirements and metadata specifications of each application in the transaction path, and wherein augmentation is weighted based on complexity of transformations required by the respective applications;
• soft committing, by a soft commit module within the quantum cloud-based processing system, the augmented tokens to each application in the transaction path, wherein the soft commit comprises transmitting the augmented tokens to the respective application in a preview mode without altering operational characteristics of the respective application and generating detailed response logs comprising success indicators, error codes, and timing data;
• analyzing, by an anomaly detection module within the quantum cloud-based processing system, responses from the plurality of applications to identify anomalies in the augmented tokens, wherein the anomalies are categorized based on severity, including critical anomalies that prevent transaction completion and non-critical anomalies that allow partial processing of the transaction data;
• mapping, by a mapping module within the quantum cloud-based processing system, the augmented tokens to the original tokens to identify discrepancies, wherein the mapping generates a discrepancy report that identifies mismatches between the augmented tokens and the original transaction data and specifies the respective application where the discrepancies occurred;
• logging, by a logging module within the quantum cloud-based processing system, details of the querying, tokenizing, augmenting, soft committing, anomaly detection, and mapping steps, wherein the logged details comprise application responses, identified anomalies, and mappings of augmented tokens to original tokens;
• dynamically updating, by an updating module within the quantum cloud-based processing system, the data structure requirements and metadata specifications for each application in the transaction path during the querying, wherein the updating incorporates new data attributes or application changes identified during the transaction processing;
• and
• storing, by a storage module within the quantum cloud-based processing system, the logged details, hierarchical map, and augmented tokens in a secure repository, wherein the secure repository is accessible for review, analysis, and audit purposes.

A system for managing transaction data across a plurality of applications in a multi-application environment, the system comprising:

• a quantum cloud-based processing system configured to receive transaction data and associated metadata from a source application, wherein the transaction data comprises a plurality of data elements and the associated metadata describes attributes of the data elements;
• an encryption module within the quantum cloud-based processing system configured to encrypt the transaction data and associated metadata using a dynamically generated quantum encryption key, wherein the quantum encryption key is generated based on the attributes of the transaction data and associated metadata;
• a querying module within the quantum cloud-based processing system configured to query each application in a transaction path defined by the transaction data to retrieve data structure requirements and metadata specifications for each application, wherein the querying module establishes secure communication channels with each application using the quantum encryption key to prevent unauthorized access to the transaction data and associated metadata during the querying process;
• a data lineage module within the quantum cloud-based processing system configured to establish a hierarchical map of transformations, translations, and metadata alterations for the transaction data, wherein the hierarchical map is dynamically updated based on responses received from the plurality of applications in the transaction path;
• a tokenization module within the quantum cloud-based processing system configured to tokenize the transaction data and associated metadata into a plurality of tokens, wherein each token represents a data element and its associated metadata and is assigned a unique identifier to enable precise tracking and mapping of data elements through the transaction path;
• a data augmentation module within the quantum cloud-based processing system configured to perform multi-level token mix-up data augmentation on the plurality of tokens to generate augmented tokens, wherein the multi-level token mix-up combines existing tokens with newly created tokens based on the data structure requirements and metadata specifications of each application in the transaction path, and wherein augmentation is weighted based on complexity of transformations required by the respective applications;
• a soft commit module within the quantum cloud-based processing system configured to soft commit the augmented tokens to each application in the transaction path, wherein the soft commit transmits the augmented tokens to the respective application in a preview mode without altering operational characteristics of the respective application and generates detailed response logs comprising success indicators, error codes, and timing data;
• an anomaly detection module within the quantum cloud-based processing system configured to analyze responses from the plurality of applications to identify anomalies in the augmented tokens, wherein the anomalies are categorized based on severity, including critical anomalies that prevent transaction completion and non-critical anomalies that allow partial processing of the transaction data;
• a mapping module within the quantum cloud-based processing system configured to map the augmented tokens to the original tokens to identify discrepancies, wherein the mapping module generates a discrepancy report that identifies mismatches between the augmented tokens and the original transaction data and specifies the respective application where the discrepancies occurred;
• a logging module within the quantum cloud-based processing system configured to log details of the querying, tokenizing, augmenting, soft committing, anomaly detection, and mapping steps, wherein the logged details comprise application responses, identified anomalies, and mappings of augmented tokens to original tokens;
• an updating module within the quantum cloud-based processing system configured to dynamically update the data structure requirements and metadata specifications for each application in the transaction path during the querying process, wherein the updating module incorporates new data attributes or application changes identified during transaction processing;
• and
• a storage module within the quantum cloud-based processing system configured to store the logged details, hierarchical map, and augmented tokens in a secure repository, wherein the secure repository is accessible for review, analysis, and audit purposes.