Abstract: Systems, computer program products, and methods are described herein for tracking network traffic data and identifying rogue access patterns in an electronic network. The present invention is configured to receive a plurality of peer user accounts; receiving a plurality of peer user data associated with the plurality of peer user accounts; generating a relational mapping based at least on the predetermined group; and generating a plurality of peer historical data access patterns based on the plurality of peer user data over the historical predetermined period. The present invention may further be configured to receive a primary user account; receive a plurality of primary user data; generate a plurality of primary user access patterns; compare the plurality of peer historical data access patterns and the plurality of primary user access patterns to generate an abnormality score; and determine whether the abnormality score meets the abnormality threshold.

Abstract: An information-security automated system for authorizing a user request for access to a module and for identifying anomalous user authorization requests may include components for receiving the user request for access to the module from the authorization request tool over a computer network, a computer machine comprising a processor, and computer-executable instructions stored on a computer-readable medium configured to cause the processor to perform steps of receiving a user request for access to a module, generating a peer group proximity dataset, generating a user dataset, calculating a critical score, determining if the critical score is less than an enterprise threshold, and generating an approval or denial of the user request based upon the critical score. In some examples the process may include the step of executing machine learning instructions to generate a second approval or a second denial of a second user request for access to a second module.

Abstract: An information-security automated process for authorizing a user request for access to a module and for identifying anomalous user authorization requests, may be implemented on a computer machine and may include the steps of receiving a user request for access to a module, generating a peer group proximity dataset, generating a user dataset, calculating a critical score, determining if the critical score is less than an enterprise threshold, and generating an approval or denial of the user request based upon the critical score. In some examples the process may include the step of executing machine learning instructions to generate a second approval or a second denial of a second user request for access to a second module. In another examples an information-security automated process for validating a user authorization access profile is disclosed herein.

Abstract: An information-security automated process for authorizing a user request for access to a module and for identifying anomalous user authorization requests, may be implemented on a computer machine and may include the steps of receiving a user request for access to a module, generating a peer group proximity dataset, generating a user dataset, calculating a critical score, determining if the critical score is less than an enterprise threshold, and generating an approval or denial of the user request based upon the critical score. In some examples the process may include the step of executing machine learning instructions to generate a second approval or a second denial of a second user request for access to a second module. In another examples an information-security automated process for validating a user authorization access profile is disclosed herein.

Abstract: Systems, computer program products, and methods are described herein for tracking network traffic data and identifying rogue access patterns in an electronic network. The present invention is configured to receive a plurality of peer user accounts; receiving a plurality of peer user data associated with the plurality of peer user accounts; generating a relational mapping based at least on the predetermined group; and generating a plurality of peer historical data access patterns based on the plurality of peer user data over the historical predetermined period. The present invention may further be configured to receive a primary user account; receive a plurality of primary user data; generate a plurality of primary user access patterns; compare the plurality of peer historical data access patterns and the plurality of primary user access patterns to generate an abnormality score; and determine whether the abnormality score meets the abnormality threshold.

Abstract: Systems, computer program products, and methods are described herein for providing automated command access approval across a network. The method includes receiving a request for a command execution to be performed on a first node. The request for the command execution indicates a user attempting to execute the command on the first node. The method also includes comparing the request for command execution to one or more previous command execution determinations. The one or more previous command execution determinations are associated with the command to be performed. The method further includes determining an execution decision based on the comparison of the request for command execution to one or more previous command execution determinations.

Abstract: Systems and methods for accurately and securely assembling, storing, and leveraging travel data are provided. A method may include detecting a travel event of a user. The method may include recording the travel event in a travel map that is stored in a database. The travel map may be a temporal- and spatial-based record of one or more travel events of the user. The travel map may be stored as a blockchain ledger. The method may include tokenizing sensitive information associated with the user in the database, and calculating a hazard vector. The method may include updating, based at least in part on the hazard vector, a status index associated with the user, and providing the user and a system administrator access to the travel map and the status index. Access may be provided via an online portal configured to be viewed via an application running on a mobile device.

Abstract: Systems and methods for accurately and securely assembling, storing, and leveraging travel data are provided. A method may include detecting a travel event of a user. The method may include recording the travel event in a travel map that is stored in a database. The travel map may be a temporal- and spatial-based record of one or more travel events of the user. The travel map may be stored as a blockchain ledger. The method may include tokenizing sensitive information associated with the user in the database, and calculating a hazard vector. The method may include updating, based at least in part on the hazard vector, a status index associated with the user, and providing the user and a system administrator access to the travel map and the status index. Access may be provided via an online portal configured to be viewed via an application running on a mobile device.

Abstract: Systems and methods for accurately and securely assembling, storing, and leveraging travel data are provided. A method may include detecting a travel event of a user. The method may include recording the travel event in a travel map that is stored in a database. The travel map may be a temporal- and spatial-based record of one or more travel events of the user. The travel map may be stored as a blockchain ledger. The method may include tokenizing sensitive information associated with the user in the database, and calculating a hazard vector. The method may include updating, based at least in part on the hazard vector, a status index associated with the user, and providing the user and a system administrator access to the travel map and the status index. Access may be provided via an online portal configured to be viewed via an application running on a mobile device.

Abstract: Systems and methods for accurately and securely assembling, storing, and leveraging travel data are provided. A method may include detecting a travel event of a user. The method may include recording the travel event in a travel map that is stored in a database. The travel map may be a temporal- and spatial-based record of one or more travel events of the user. The travel map may be stored as a blockchain ledger. The method may include tokenizing sensitive information associated with the user in the database, and calculating a hazard vector. The method may include updating, based at least in part on the hazard vector, a status index associated with the user, and providing the user and a system administrator access to the travel map and the status index. Access may be provided via an online portal configured to be viewed via an application running on a mobile device.