Abstract: Validation/authentication of a resource exchange device and/or authorization of a resource exchange event being conducted with the resource exchange device is made possible through use of a Non-Fungible Token (NFT) that is accessible via an NFT identifier encrypted and embedded within a digital image imprinted on the resource exchange device. The NFT identifier NFT identifier may be segmented and each segmented stored in different predetermined pixels of the digital image to add an additional security layer to the validation/authorization process.

Abstract: Systems, methods, and computer program products are provided herein for tokenized data transfers between electronic devices in a distributed network. An example method includes receiving a request for a tokenized data transfer associated with at least a first user and determining one or more data transfer parameters defining the tokenized data transfer request. The example method further includes generating a data transfer token for the first user based on the data transfer parameters where the data transfer token includes at least a first resource associated with the first user. The example method also includes providing the data transfer token within a mobile resource application of the first user. A second user associated with the request for the tokenized data transfer based may be determined based on the one or more data transfer parameters, and the method may include effectuating the tokenized data transfer between the users.

Abstract: Systems, methods, and computer program products are provided herein for tokenized data transfers between electronic devices in a distributed network. An example method includes receiving a request for a tokenized data transfer associated with at least a first user and determining one or more data transfer parameters defining the tokenized data transfer request. The example method further includes generating a data transfer token for the first user based on the data transfer parameters where the data transfer token includes at least a first resource associated with the first user. The example method also includes providing the data transfer token within a mobile resource application of the first user. A second user associated with the request for the tokenized data transfer based may be determined based on the one or more data transfer parameters, and the method may include effectuating the tokenized data transfer between the users.

Abstract: Systems, computer program products, and methods are described herein for self-adjusting robotic build infrastructure for software application development. The present disclosure is configured to receive a set of input parameters associated with the planned build; analyze the set of input parameters associated with the planned build; determine a robotic build infrastructure from a robotic build infrastructure database using the analyzed set of input parameters associated with the planned build; compile an image test of the planned build based on the robotic build infrastructure determined from the robotic build infrastructure database; validate the image test through a performance test; adjust the image test based on the analyzed set of input parameters and the performance test validation; initiate a final build of the robotic build infrastructure based on the adjusted image test; and certify the final build of the adjusted robotic build infrastructure.

Abstract: Systems, computer program products, and methods are described herein for detecting and implementing vulnerability fixes in an electronic environment.

Abstract: An architecture for writing software programs is provided. The architecture allows programmers to focus on writing software and shifts definition of entities, creation of processing rules and business logic to a special visual programming language. The special visual programming language onscreen visual cues for use by personnel without technical programming expertise. The special visual programming language may be utilized to define an entity. The defined entities may be utilized by programmers to create products that are governed by the definitions of the constituent entities included in each product. The architecture also includes a Universal Central Engine that processes products created by the programmers, identifies the constituent entities included in each product and processes those constituent entities in accordance with their definitions.

Abstract: A system includes a controller device and an infrastructure management subsystem. The controller device receives a selection of an anticipated future change to one or more characteristics of a baseline demand. The infrastructure management subsystem receives the baseline demand and the anticipated future change to the one or more characteristics of the baseline demand. The infrastructure management subsystem determines an anticipated turbulence. The anticipated turbulence includes a quantitative indication of anticipated fluctuations in future infrastructure demand as a function of time. The infrastructure management subsystem determines a counter-balancing turbulence for the anticipated turbulence. The counter-balancing turbulence comprises counter-balancing fluctuations that destructively interfere with the anticipated fluctuations of the anticipated turbulence.

Abstract: An infrastructure management subsystem receives a selection of a planned configuration of the computing infrastructure and a baseline demand that includes a current usage of computing resources of the computing infrastructure. The infrastructure management subsystem determines an anticipated turbulence. The anticipated turbulence includes a quantitative indication of anticipated fluctuations in future infrastructure demand as a function of time. The infrastructure management subsystem determines an effective turbulence for the planned infrastructure configuration. The effective turbulence includes a quantitative indication of anticipated fluctuations in future infrastructure availability. The infrastructure management subsystem determines a configuration score corresponding to an extent to which the anticipated fluctuations in the effective turbulence destructively interfere with the anticipated fluctuations in the anticipated turbulence.

Abstract: A system includes a controller device and an infrastructure management subsystem. The controller device receives a selection of an anticipated future change to one or more characteristics of a baseline demand. The infrastructure management subsystem receives the baseline demand and the anticipated future change to the one or more characteristics of the baseline demand. The infrastructure management subsystem determines an anticipated turbulence. The anticipated turbulence includes a quantitative indication of anticipated fluctuations in future infrastructure demand as a function of time. The infrastructure management subsystem determines a counter-balancing turbulence for the anticipated turbulence. The counter-balancing turbulence comprises counter-balancing fluctuations that destructively interfere with the anticipated fluctuations of the anticipated turbulence.

Abstract: An infrastructure management subsystem receives a selection of a planned configuration of the computing infrastructure and a baseline demand that includes a current usage of computing resources of the computing infrastructure. The infrastructure management subsystem determines an anticipated turbulence. The anticipated turbulence includes a quantitative indication of anticipated fluctuations in future infrastructure demand as a function of time. The infrastructure management subsystem determines an effective turbulence for the planned infrastructure configuration. The effective turbulence includes a quantitative indication of anticipated fluctuations in future infrastructure availability. The infrastructure management subsystem determines a configuration score corresponding to an extent to which the anticipated fluctuations in the effective turbulence destructively interfere with the anticipated fluctuations in the anticipated turbulence.

Abstract: An infrastructure management subsystem receives a selection of a planned configuration of the computing infrastructure and a baseline demand that includes a current usage of computing resources of the computing infrastructure. The infrastructure management subsystem determines an anticipated turbulence. The anticipated turbulence includes a quantitative indication of anticipated fluctuations in future infrastructure demand as a function of time. The infrastructure management subsystem determines an effective turbulence for the planned infrastructure configuration. The effective turbulence includes a quantitative indication of anticipated fluctuations in future infrastructure availability. The infrastructure management subsystem determines a configuration score corresponding to an extent to which the anticipated fluctuations in the effective turbulence destructively interfere with the anticipated fluctuations in the anticipated turbulence.

Abstract: A hybrid system for software development in which dynamic content processing occurs locally at each developer's computing device, while static content processing occurs remotely via a network-based software deployment server. Moreover, the system provides for multiple designer-specific websites to be created within a network-based Common Internet File System (CIFS) so that developers can work in parallel. Further, file/code transfer between the network-based deployment server and the local computing devices occurs seamlessly and in real-time, so that processing delays are minimized.

Abstract: A hybrid system for software development in which dynamic content processing occurs locally at each developer's computing device, while static content processing occurs remotely via a network-based software deployment server. Moreover, the system provides for multiple designer-specific websites to be created within a network-based Common Internet File System (CIFS) so that developers can work in parallel. Further, file/code transfer between the network-based deployment server and the local computing devices occurs seamlessly and in real-time, so that processing delays are minimized.