Abstract: Self-orchestration and -management of Automated Teller Machines (ATMs) leveraging the use of extended Reality (XR) amongst support personnel to perform the maintenance/repair. Issues and events required to address the issues are identified at the ATM and a maintenance queue is generated, and subsequently managed, at the ATM that includes an ordered listing of the events and assigned support personnel for each event, along with access credentials for each support personnel. Management of the maintenance queue includes notifying the support personnel of their event assignments of the requisite timing requirements. XR is used to facilitate maintenance and repair in a collaborative and, in some instances simultaneous, manner between remote and onsite support personnel. Various different XR operational modes are implemented to assist support personnel in accomplishing the assigned events without the need for extensive training and/or experience.

Abstract: Aspects of the disclosure relate to monitoring a computing network to determine data exfiltration. A computing platform may use time-series modeling to determine anomalous network activity with respect to outgoing data. Additional aspects of this disclosure relate to analysis of web activities associated with a user to determine compromised user accounts/devices. The computing platform may use domain categorization to determine if web activity associated with a user is anomalous.

Abstract: Systems, computer program products, and methods are described herein for analyzing micro-anomalies in anonymized electronic data. The present disclosure is configured to import or retrieve a first data set, process the first data set to develop at least one event-outcome projection, define an outcome projection data set, import or receive a monitored user data set, anonymize the monitored user data set, define an avatar data set process the avatar data set, wherein the steps of import or receive a monitored user data set, anonymize the monitored user data set, and define an avatar data set are repeated one or more times.

Abstract: Embodiments of the present invention provide a system for interconnection, translation, and transition between disparate digital ecosystems. The system is configured for determining that a user is requesting to access a first digital ecosystem, receiving a first authentication credentials of the user from the first digital ecosystem for verification, determining that the verification of the first authentication credentials is successful and provide access to the first digital ecosystem, determining that the user is requesting transition to a second digital ecosystem from the first digital ecosystem, receiving second authentication credentials of the user from the second digital ecosystem for verification, determining that the verification of the second authentication credentials is successful and provide access to the second digital ecosystem, and preparing and transmitting a data payload to the second digital ecosystem.

Abstract: Various aspects of the disclosure relate to automated monitoring and detection of computing threats. A threat detection computing system is configured to monitor for security threats on a networked system. The threat detection system monitors process calls to detect otherwise benign activity that exceeds an expected threshold and identifies threat actor actions that would otherwise go un-noticed and be associated with normal computer activity.

Abstract: Systems, methods, and computer program products are provided for detecting a synthetic identity. The method includes receiving an identity verification request relating to an individual. The identity verification request includes one or more individual identifiers of the individual. The method also includes comparing at least one of the one or more individual identifiers to one or more known synthetic indicators. The one or more known synthetic indicators including at least one of a synthetic identifier type or a synthetic identifier value that correspond to one or more known synthetic identities. The method further includes determining a synthetic identity determination based on the comparison of the at least one of the one or more individual identifiers to the one or more known synthetic indicators. The synthetic identity determination indicates whether an identity verification request is a potential synthetic identity.

Abstract: Systems, computer program products, and methods are described herein for self-clustering computing protocols. The present invention is configured to detect, using a node analysis engine, a change in a network security protocol associated with a first node or device within a distributed network, and transmit instructions for the first node or device to broadcast the change to nearby nodes or devices such that they can act in concert to protect against identifies security issues.

Abstract: Embodiments of the invention are directed to systems, methods, and computer program products for intelligent verification of digital files via the analysis of metadata and other file characteristics. The system is adaptive, in that it can be adjusted based on the needs or goals of the user utilizing it, or may intelligently and proactively adapt based on the files or data received for processing. The system may be seamlessly embedded within existing applications or programs that the user may already use to interact with one or more entities.

Abstract: Systems, computer program products, and methods are described herein for implementing continuous authentication based on object location recognition. The present invention is configured to receive, from the computing device of a user, a request for primary authorized access; receive, via the augmented reality application, a real-time visual feed, wherein the real-time visual feed comprises one or more objects; determine one or more positional parameters associated with the one or more objects; determine that the one or more objects and the one or more positional parameters associated with the one or more objects meets one or more requirements for the primary authorized access; and transmit control signals configured to cause the computing device of the user to display a notification indicating that the user has been granted the primary authorized access.

Abstract: A need to retrain a machine learning model is determined based on identification of either a new scenario (i.e., new grouping/population of data variables) or a modification to an existing/trained scenario (i.e., addition and/or deletion of data variables in an already trained scenario). Change occurring across all of the data variables used in training the machine learning model are monitored as opposed to monitoring only the data variables on an individual basis. When concurrent change occurs across multiple inter-related data variables, the need to add or modify a scenario (i.e., retrain a machine learning model) is identified.

Abstract: Aspects of the disclosure relate to using machine-learning models to determine graduated levels of access to secured data for remote devices. In some embodiments, a computing platform may establish a connection with a mobile device. Subsequently, based on establishing the connection, the platform may identify initial device information, device features, and user information. The platform may input the identified information into an authentication model to compute a baseline authentication score and then may identify an initial level of access to secured resources for the mobile device. Thereafter, the platform may receive from the mobile device, AR/VR device information captured by the mobile device. The platform may input the AR/VR device information into the authentication model to compute an augmented authentication score. Based on the augmented score, the platform may identify an augmented level of access to secured resources for the mobile device.

Abstract: A device is configured to receive a user input from a user device indicating a first gesture performed by a user in a real-world environment and to identify a first token within a gesture map corresponding with the first gesture. The device is further configured to identify a second gesture performed by an avatar within a virtual environment that is associated with the user and to identify a second token within the gesture map corresponding with the second gesture. The device is further configured to combine the first token and the second token to generate an authentication token and to verify an identity of the user based on the authentication token.

Abstract: Systems, computer program products, and methods are described herein for implementing device manipulation for counteracting facial recognition authentication security malfeasance. The present invention is configured to receive a request from a user via a client device to access an authentication subsystem to execute a facial recognition authentication for access to an application; initiate the facial recognition authentication on the client device in response to receiving the request; receive, from the client device, one or more external inputs in response to one or more authentication prompts; determine, using a machine learning subsystem, that at least one of the one or more external inputs is associated with a first preconfigured duress code; trigger, using a breach detection subsystem, a first set of security protocols; and execute, using the breach detection subsystem, a first set of predefined actions associated with the first set of security protocols.

Abstract: A computing chip may comprise a memory that stores a machine-learning model. an optical absorption spectroscopy component, and one or more processors operably coupled to the memory and the optical absorption spectroscopy component. The one or more processors may cause the optical absorption spectroscopy component to emit radiation to N pre-determined directions within an internal space of a computing device. The one or more processors may cause the optical absorption spectroscopy component to sample an absorption of reflections of the emitted radiation for each of the N pre-determined directions. The one or more processors may determine that one or more hardware components of the computing device are in particular abnormal conditions by processing the N sampled absorptions with the machine-learning model. The one or more processors may send a notification indicating that the one or more hardware components are in the particular abnormal conditions.

Abstract: A system for leveraging local/user-side resources (i.e., memory) to store Non-Fungible Tokens (NFTs) and conduct NFT-related computational processes required for generating/minting or exchanging an NFT. The local/user device is equipped with super Non-Volatile Random Access Memory (NVRAM), which operates in accordance with a resource-sharing protocol, such as Network Block Device (NBD) protocol or the like. The resource-sharing protocol is registered with the user's NFT digital wallet, which is in communication with the distributed trust computing networks and, thus links the local/user-side resources (i.e., NVRAM) with the distributed trust computing network for resource sharing capabilities.

Abstract: Systems, computer program products, and methods are described herein for secure user identification using digital image processing. The present invention is configured to receive, via a first user input device, an input selection of a first image from a first user, wherein the first image is associated with a second user; extract features of the first image; determine a secure image matching the first image based on at least the features of the first image; extract, from the secure image, a unique device identifier associated with the second user embedded thereon; and transmit control signals configured to cause the first user input device to display the unique device identifier.

Abstract: Systems, computer program products, and methods are described herein for implementing dynamic multi-factor soft lock on user identifiers. The present invention is configured to receive, from a first user input device, a network registration request from a user to obtain authorization to execute resource transfers within a distributed network using a first user identifier; query, using an information retrieval engine, metadata associated with the user within the distributed network for traceable instances of digital activities of the user; determine one or more user identifiers based on at least the metadata associated with the user; execute, using an authentication subsystem, a soft lock on the one or more user identifiers; approve authorization for the user to execute the resource transfers within the distributed network using the first user identifier; and transmit control signals configured to cause the first user device to display the authorization.

Abstract: Systems, computer program products, and methods are described herein for frequency filtering in image analysis for identity verification. The present invention is configured to receive, from a user input device, a request from a user to initiate identity verification for access privileges; receive a first image of a face of the user from the user input device in response to the request, wherein the first image is in a geometric domain; transform, using an image transformation algorithm, the first image from the geometric domain into a frequency domain; process, using a machine learning (ML) subsystem, the first image of the user; authenticate the user based on at least processing the first image; and automatically trigger one or more access privilege protocols in response to authenticating the user.

Abstract: A system for reestablishing network connectivity for particular network equipment in a failed network zone comprises a processor associated with a server. The processor receives a flag that identifies the failed network zone including particular network equipment that have lost network connectivity in a network. The processor generates a first non-fungible token using the configuration information associated with each of the particular network equipment. The processor determines routing information based at least in part upon the configuration information and a network topology. The processor generates a second non-fungible token based at least in part upon the routing information. The processor aggregates the first non-fungible token and the second non-fungible token to generate a primary non-fungible token. The processor reestablishes network connectivity for at least a portion of the particular network equipment based at least in part upon information associated with the primary non-fungible token.

Abstract: Systems, computer program products, and methods are described herein for implementing a transactional timelock mechanism in a distributed ledger. The present invention is configured to receive, from a computing device, a transaction to be registered in a ledger record associated with a distributed ledger at a future time; retrieve a required amount of resources for the one or more validation nodes to register the transaction in the ledger record; submit a validation request for the transaction to a memory pool associated with the one or more validation nodes with a proposed amount of resources less than the required amount of resources; continuously monitor the transaction in the memory pool until the future time; and at the future time, automatically re-submit the validation request for the transaction to the memory pool with the required amount of resources.