Abstract: A system for integration and interoperability between disparate distributed server technologies is provided. In particular, the system may provide communications functionality between heterogenous distributed register technology networks. In this regard, the system may establish an interoperability layer between the disparate networks to allow cross-network process flows to be executed. The interoperability layer may comprise one or more network services nodes for each distributed register technology to be integrated by the system. Each network services nodes may act as an event handler for internal processes executed within a given distributed register network and be configured to send and receive data from other network services nodes regarding the execution of such processes. The respective network services may then use the data obtained regarding such internal processes to in turn execute its own processes.

Abstract: Various systems, methods, and computer program products are provided for generating and monitoring dynamic identifiers for data processing security. The method includes generating a dynamic identifier for a user request. The dynamic identifier changes based on a receiving node of the dynamic identifier. The method also includes updating the dynamic identifier in an instance in which the user request is transmitted from a first node to a second node. The method further includes generating a dynamic identifier change log. The dynamic identifier change log includes at least one historical dynamic identifier from a previous receiving node. The method still further includes determining whether the dynamic identifier change log matches an expected dynamic identifier change log. The method also includes causing a transmission of a dynamic identifier verification upon determining that the dynamic identifier change log matches the expected dynamic identifier change log.

Abstract: Systems, computer program products, and methods are described herein for dynamic deployment of discerner nodes in a non-monitored distributed network. The present invention is configured to deploy the node crawler on the distributed network based on at least receiving the user input; determine, using the node crawler, node-level network behavior of the one or more nodes; determine that the node-level behavior of a first subset of nodes do not meet one or more security controls; generate a discerner node based on at least the node-level network behavior of the one or more nodes; deploy the discerner node on the first subset of nodes; and determine that the node-level behavior of the first subset of nodes meets the one or more security controls based on at least deploying the discerner node.

Abstract: An apparatus includes a database and a processor. The database stores a set of services, each of which produces outputs when provided inputs. The processor determines a machine learning policy that can be applied to a first service to determine a descriptor file assigned to the service. The first service can produce a first output when provided a first input. The descriptor file includes the first output type and the first input type. The processor applies the machine learning policy to the set of services to determine a set of descriptor files. The processor receives a request from a user for a second service that produces a second output given a second input. The processor then locates a second descriptor file that includes the second output type and the second input type, determines a third service assigned to the descriptor file, and sends the third service to the user.

Abstract: A system for integration and interoperability between disparate distributed server technologies is provided. In particular, the system may provide communications functionality between heterogenous distributed register technology networks. In this regard, the system may establish an interoperability layer between the disparate networks to allow cross-network process flows to be executed. The interoperability layer may comprise one or more network services nodes for each distributed register technology to be integrated by the system. Each network services nodes may act as an event handler for internal processes executed within a given distributed register network and be configured to send and receive data from other network services nodes regarding the execution of such processes. The respective network services may then use the data obtained regarding such internal processes to in turn execute its own processes.

Abstract: A method for generating an image and identifying an account number from the image is provided. The method may include receiving one or more entity data elements at a client onboarding module. The method may include generating the image that corresponds to the entity data elements. The image may be shaped in a predetermined organic shape. The image generation may utilize artificial intelligence. The image generation may be based on the received entity data elements. The method may include generating the account number. The account number may correspond to the entity data elements. The method may include linking the account number to the image. The method may include linking a geographic location of the entity to the image. The method may include transmitting the image to the entity.

Abstract: A certificate identification system comprises multiple source devices configured to generate an artifact which comprises features indicating user data and an action, a certificate database configured to store certificates comprising user identity information corresponds to its signatory, and an identity manager in signal communication with the source devices and the certificate database.

Abstract: A system for intelligently deploying applications to nodes on a distributed ledger technology (DLT) network may receive requests from authorized users to deploy DLT-based applications to one or more nodes in a DLT network. The system may further identify the DLT network for deploying the application by analyzing a set of characteristics associated with the application with a set of characteristics associated with a DLT network. The system may also generate deployment scripts for the applications that include instructions compatible with the identified DLT network and to be performed by the one or more nodes to implement the application code.

Abstract: A system for intelligently provisioning a distributed ledger technology (DLT) network may be configured to receive requests from authorized users to provision a DLT network based on a plurality of preset parameters. The system may further be configured to generate one or more script, using machine learning or other artificial intelligence algorithms, for provisioning the DLT network according to the preset parameters. One or more nodes in the DLT network can then execute the intelligently generated script to provision the DLT network as requested.

Abstract: An apparatus includes a database and a processor. The database stores a set of services, each of which produces outputs when provided inputs. The processor determines a machine learning policy that can be applied to a first service to determine a descriptor file assigned to the service. The first service can produce a first output when provided a first input. The descriptor file includes the first output type and the first input type. The processor applies the machine learning policy to the set of services to determine a set of descriptor files. The processor receives a request from a user for a second service that produces a second output given a second input. The processor then locates a second descriptor file that includes the second output type and the second input type, determines a third service assigned to the descriptor file, and sends the third service to the user.

Abstract: A system for intelligently provisioning a distributed ledger technology (DLT) network may be configured to receive requests from authorized users to provision a DLT network based on a plurality of preset parameters. The system may further be configured to generate a script, using machine learning or other artificial intelligence algorithms, for provisioning the DLT network according to the preset parameters. One or more nodes in the DLT network can then execute the intelligently generated script to provision the DLT network as requested.

Abstract: The collection of data from multiple different Distributed Ledger Technology (DLT) networks is managed for a large-scale work flow having multiple interdependent data collection processes. Embodiments of the invention are configured to coordinate and orchestrate the collection of data from any DLT network and communicate the data to any legacy system requiring such. As a result, the invention can leverage the areas of expertise afforded by each of the different DLT networks used to conduct interdependent data collection processes of the work flow. In addition, through use data collection extensions the present invention provides the capability to collect data from any known or future known DLT network and communicate the data to any requesting legacy system.

Abstract: A certificate identification system comprises multiple source devices configured to generate an artifact which comprises features indicating user data and an action, a certificate database configured to store certificates comprising user identity information corresponds to its signatory, and an identity manager in signal communication with the source devices and the certificate database.

Abstract: A system for intelligently provisioning a distributed ledger technology (DLT) network may be configured to receive requests from authorized users to provision a DLT network based on a plurality of preset parameters. The system may further be configured to generate a script, using machine learning or other artificial intelligence algorithms, for provisioning the DLT network according to the preset parameters. One or more nodes in the DLT network can then execute the intelligently generated script to provision the DLT network as requested.

Abstract: A system for intelligently deploying applications to nodes on a distributed ledger technology (DLT) network may receive requests from authorized users to deploy DLT-based applications to one or more nodes in a DLT network. The system may further identify the DLT network for deploying the application by analyzing a set of characteristics associated with the application with a set of characteristics associated with a DLT network. The system may also generate deployment scripts for the applications that include instructions compatible with the identified DLT network and to be performed by the one or more nodes to implement the application code.

Abstract: A system for intelligently provisioning a distributed ledger technology (DLT) network may be configured to receive requests from authorized users to provision a DLT network based on a plurality of preset parameters. The system may further be configured to generate one or more script, using machine learning or other artificial intelligence algorithms, for provisioning the DLT network according to the preset parameters. One or more nodes in the DLT network can then execute the intelligently generated script to provision the DLT network as requested.

Abstract: The collection of data from multiple different Distributed Ledger Technology (DLT) networks is managed for a large-scale work flow having multiple interdependent data collection processes. Embodiments of the invention are configured to coordinate and orchestrate the collection of data from any DLT network and communicate the data to any legacy system requiring such. As a result, the invention can leverage the areas of expertise afforded by each of the different DLT networks used to conduct interdependent data collection processes of the work flow. In addition, through use data collection extensions the present invention provides the capability to collect data from any known or future known DLT network and communicate the data to any requesting legacy system.

Abstract: The present disclosure is directed to a novel system that incorporates extended recognition capabilities to a node in a distributed ledger network. In particular, a node within a distributed ledger network may be configured to simultaneously perform DLT functions while also performing information server and data management functions with respect to outside networked systems. By operating a multi-function DLT node with extended recognition mechanism in this way, an entity may efficiently distribute computing workloads when performing DLT and non-DLT functions.

Abstract: The present disclosure is directed to a novel system that incorporates extended recognition capabilities to a node in a distributed ledger network. In particular, a node within a distributed ledger network may be configured to simultaneously perform DLT functions while also performing information server and data management functions with respect to outside networked systems. By operating a multi-function DLT node with extended recognition mechanism in this way, an entity may efficiently distribute computing workloads when performing DLT and non-DLT functions.