Abstract: A system includes a memory configured to store instances of a software application executable on a computing device and a set of sensitive data and a processor operably coupled to the memory and configured to detect an interaction to initiate an execution of user interactions with the set of sensitive data. The processor is further configured to execute one or more generative machine-learning models trained to generatively present sequences of different decoy data to a user in response to an execution of interactions with the different decoy data, partition the set of sensitive data into sets of sharded sensitive data, and transfer the sets of sharded sensitive data to a trusted database and onto a trusted computing node. The processor is further configured to store a log of the generatively presented sequences of different decoy data and the execution of the interactions with the different decoy data.

Abstract: Systems, computer program products, and methods are described herein for deployable software vulnerability testing platform. The present invention is configured to receive, from a user input device, an initial request from a user to generate a deployable software vulnerability testing (SVT) engine; prompt an SVT dashboard for display on the user input device to receive one or more input parameters associated with the first vulnerability in response to receiving the initial request; receive, via the SVT dashboard, the one or more input parameters; generate the SVT engine based on at least the one or more input parameters; receive, from the user input device, one or more deployment parameters associated with a deployment of the SVT engine; and deploy the SVT engine within the distributed technology infrastructure to identify the one or more instances of the first vulnerability based on at least the one or more deployment parameters.

Abstract: A system is provided for detecting and remediating computing system breaches using computing network traffic monitoring. In particular, the system may identify one or more technology elements within a network as well as relationships between computing systems associated with said elements to determine a network topology. Based on the network topology, the system may use historical network traffic data associated with the technology elements in the network to generate predicted entry points and lateral pathways of a security breach that may take place within particular computing systems. Then, based on the technology elements affected as well as entry points and path traversals of the breach, the system may generate and/or implement one or more remediation steps to address existing and/or future breaches. In this way, the system may provide an intelligent method of augmenting the security of a computing network.

Abstract: A system for real-time authenticated obfuscation of electronic data provides real-time visual obfuscation of the data by transforming displayed data into undecipherable data when viewed by an unauthorized user while maintaining access for an authorized user. The system may further provide application-level obfuscation of electronic data via cryptographic keys such that only authorized applications may decrypt the encrypted data. In this way, the system provides secure access control of electronic data within a networked environment.

Abstract: Various systems, methods, and computer program products are provided for dynamic code patch deployment within a distributed network. The method includes identifying one or more potential vulnerabilities within a software library that is associated with a first application within a decentralized network. The method also includes receiving a code update relating to the identified software library associated with the first application within the decentralized network. The method further includes identifying a second applications within the decentralized network that is also associated with the identified software library. The method still further includes causing a transmission of the code update to the second application within the decentralized network.

Abstract: A system includes a memory configured to store instances of a software application executable on a computing device and a set of public data. The system includes a processor operably coupled to the memory and configured to detect an interaction to initiate execution of user interactions with the set of public data. The processor is further configured to execute one or more generative machine-learning models trained to extract, based on the set of public data, a set of data to be inputted into a trusted network for obfuscating from public view sets of private data, and identify, based on the extracted set of data, the sets of private data. The processor is further configured to input the extracted set of data into the trusted network, and initiate execution of user interactions with the sets of private data based on the extracted set of data as inputted into the trusted network.

Abstract: Various systems, methods, and computer program products are provided for dynamic code patch deployment within a distributed network. The method includes identifying one or more potential vulnerabilities within a software library that is associated with a first application within a decentralized network. The method also includes receiving a code update relating to the identified software library associated with the first application within the decentralized network. The method further includes identifying a second applications within the decentralized network that is also associated with the identified software library. The method still further includes causing a transmission of the code update to the second application within the decentralized network.

Abstract: A system includes a memory configured to store instances of a software application executable on a computing device and a set of sensitive data and a processor operably coupled to the memory and configured to detect an interaction to initiate an execution of user interactions with the set of sensitive data. The processor is further configured to execute one or more generative machine-learning models trained to generatively present sequences of different decoy data to a user in response to an execution of interactions with the different decoy data, partition the set of sensitive data into sets of sharded sensitive data, and transfer the sets of sharded sensitive data to a trusted database and onto a trusted computing node. The processor is further configured to store a log of the generatively presented sequences of different decoy data and the execution of the interactions with the different decoy data.

Abstract: A system includes a memory configured to store a plurality of instances of a software application executable on a computing device and a set of confidence scores. The system includes one or more processors operably coupled to the memory and configured to receive an interaction request for initiating an execution of an interaction, in which the interaction request includes metadata. The one or more processors may further execute one or more generative machine-learning models trained to identify, based on the interaction request and the metadata, an intent and one or more named entities included within the interaction request or the metadata, assign, based on the identified intent and one or more named entities, a confidence score to the interaction request, and generate, based on the confidence score assigned to the interaction request, a generative response including a recommendation to initiate the execution of the interaction to satisfy the interaction request.

Abstract: A system is provided for cryptographic hash-based reconstruction of electronic data files. In particular, the system may comprise a data reconstruction database containing entries for elements of electronic data files. Each element and/or entry within the data reconstruction database may be associated with a unique tag or identifier. Accordingly, when data files are generated and/or stored by the system, the data files may comprise an ordered list of one or more identifiers. Based on the identifiers with the data files, the system may dynamically reconstruct the contents of the data files. The system may further use cryptographic keys or hash values to provide secured access control to the data files. In this way, the system may provide an efficient and secure way to store and generate electronic data files and provide secured access thereto.

Abstract: A system is provided for remediating computing system breaches by reversibly distributing data to a plurality of edge points in a distributed network. In particular, the system may intelligently track network data to predict breach vector pathways and may track various types of network traffic data for computing systems within the network. Based on the network traffic data, the system may generate a network topology, mapping the various types of network connections across the computing systems in the network environment as well as the datasets that were transferred across such connections. In the event of a system breach, the system may divide each dataset into a plurality of partial data packets. The system may transmit each partial data packet to a different user device or computing device in the network. After the breach is remediated, the system may recall the individual data packets and reassemble the datasets for future use.

Abstract: A system is provided for remediation of security vulnerabilities in computing devices using continuous device-level scanning and monitoring. In particular, the system may perform a deep scan of the hardware and software elements of a computing device and/or application and compile the information from the deep scan into a hardware metadata list and a software metadata list associated with the computing device and/or application. The system may then, through a machine learning-based process, continuously scan the elements within the hardware metadata list and the software metadata list to identify the elements that are not involved in the operation of the computing device and/or application. The system may flag such elements for inspection to evaluate the safety of the elements and subsequently execute one or more remediation processes in response to detecting an unsafe element.

Abstract: A system is provided for detecting and remediating computing system breaches using computing network traffic monitoring. In particular, the system may identify one or more technology elements within a network as well as relationships between computing systems associated with said elements to determine a network topology. Based on the network topology, the system may use historical network traffic data associated with the technology elements in the network to generate predicted entry points and lateral pathways of a security breach that may take place within particular computing systems. Then, based on the technology elements affected as well as entry points and path traversals of the breach, the system may generate and/or implement one or more remediation steps to address existing and/or future breaches. In this way, the system may provide an intelligent method of augmenting the security of a computing network.

Abstract: Systems, computer program products, and methods are described herein for dynamic communication channel switching for secure message propagation. The present invention may be configured to receive wireless signals from a plurality of devices and identify, from the plurality of devices and based on the wireless signals, a trusted device. The present invention may be configured to receive, from another device, a secure message, where the secure message includes information identifying a vulnerability in a network to which the trusted device is connected. The present invention may be configured to establish, based on receiving the secure message and using a first wireless communication interface, a communication link with a second wireless communication interface of the trusted device to establish a wireless data channel with the trusted device and transmit, via the wireless data channel, the secure message to the trusted device.

Abstract: A system is provided for monitoring real-time data inputs across multiple channels, determining potential impacts to a network or entity policy taxonomy, and taking one or more automated, responsive actions based on determined impacts. In this way, the system described herein is able to optimize system processes and system protections on an enterprise-wide scale in response to current events, policy or regulation changes, or predicted measures taken by private or public entities that may necessitate adaptation of one or more workflow processes or technology taxonomies, either upstream or downstream of the system itself.

Abstract: A system for generating an identity-based Non-Fungible Token (NFT) that uses, as a least a portion of the input file, a verified identity of the user. Once generated, the identity-based NFT is stored within a distributed trust computing network, which provides for verifying the authenticity and unalerted state of the NFT. Subsequently, the identity-based NFT can be accessed via the distributed trust computing network to verify the identity of the user. Additionally, the NFT may use other verified data as a portion of the input file, such as verified identity of users having a familial relationship with the user, verified life events, and/or verified user preferences. Further, the NFT may include one or more markers that identify a familial relationship and are configured to link the NFT to other NFTs associated with the related users.

Abstract: Systems, computer program products, and methods are described herein for tracking resources using non-fungible tokens. The present invention is configured to receive a request for a non-fungible token (NFT) for a resource, wherein the resource is a physical object; initiate a non-fungible token (NFT) generator on the resource; generate a unique digital signature for the resource by generating a scanned image of the resource and identifying one or more features of the resource from the image; generate an NFT comprising a unique digital signature for the resource; determine a physical condition of the resource; store the physical condition of the resource in a first metadata layer associated with the NFT; and record the NFT for the resource on a distributed ledger.

Abstract: A system for communicating email messages using tokens receives a request to send an email message to a receiver. The email message is associated with a sender's email address. The system determines whether the sender's email address is associated with a token from a plurality of tokens stored in a token-email address mapping table. The system generates a particular token for the sender's email address in response to determining that the sender's email address is not associated with a token, where the particular token uniquely identifies the sender's email address. The system sends the email message using the particular token instead of the sender's email address, such that the sender's email address remains anonymous from the perspective of the receiver.

Abstract: A device is configured to receive an interaction request from the first user that identifies an address for a contract that is stored in a blockchain and to access machine-executable instructions associated with the contract. The device is further configured to determine a projected number of virtual resources and real-world resources for the first user based on a number of available resources for the first user and the machine-executable instructions for transferring resources between the first user and the second user in the contract. The device is further configured to output the projected number of virtual resources to the first user and to output the projected number of real-world resources to the first user. The device is further configured to initiate a transfer of resources between the first user and the second user.

Abstract: Systems, computer program products, and methods are described herein for assessing cyber-based data protection exposure using artificial intelligence. The method includes compiling an assessment of cyber-based data exposure of an entity using artificial intelligence, said entity comprised of a set of cyber-based data, an internal set of cyber-based protective measures, and an external set of cyber-based protective measures. The method further includes comparing the assessment of cyber-based data exposure against an open-source database. The method further includes generating an analysis of cyber-based data protection exposure associated with the entity based on the comparison of the assessment of cyber-based data exposure against the open-source database. The analysis of cyber-based data protection exposure associated with the entity comprises an estimation of exposure of the set of cyber-based data.