Abstract: A method includes rendering on displays of a plurality of extended reality (XR) devices an XR environment. The XR environment includes a first user avatar authorized to interact with an XR application of the plurality of XR applications and a second user avatar unauthorized to interact with the XR application. The method includes receiving, by sensors of an XR device, sensor data indicative of a user intent to interact with the XR application by the second user avatar, generating, based on the sensor data, an estimation of an unauthorized interaction with the XR application by the second user avatar, executing, based on the estimation of the unauthorized interaction, a data obfuscation of information associated with an authorized interaction with the XR application by the first user avatar, and re-rendering on the displays of the plurality of XR devices the XR application in accordance with the executed data obfuscation.

Abstract: Real-time prevention of misappropriation and/or exposure assessment posed by a transaction at a POS terminal, especially those transactions in which it is not possible to otherwise definitively determine that a user/transactor is present at the POS terminal. AI is relied on, such as, a neural network implementing sequence modeling, to predict the likelihood that a user/transactor is present at the POS terminal. Location of a user is tracked via a designated mobile communication device and in instances in which a location of the mobile communication cannot be identified at the time of the transaction, the invention performs analysis based at least on the last-in-time location of the mobile communication device, the user's travel route leading up to the last-in-time location of the mobile communication device and other factors to predict a likelihood that the user is located at the POS terminal.

Abstract: Real-time prevention of misappropriation and/or exposure assessment posed by a transaction at a POS terminal, especially those transactions in which it is not possible to otherwise definitively determine that a user/transactor is present at the POS terminal. AI is relied on, such as, a neural network implementing sequence modeling, to predict the likelihood that a user/transactor is present at the POS terminal. Location of a user is tracked via a designated mobile communication device and in instances in which a location of the mobile communication cannot be identified at the time of the transaction, the invention performs analysis based at least on the last-in-time location of the mobile communication device, the user's travel route leading up to the last-in-time location of the mobile communication device and other factors to predict a likelihood that the user is located at the POS terminal.

Abstract: A device receives a document that includes a request and supporting data associated with the request. The device determines that the received request is a first request type. A first set of supporting data is determined that is needed to determine a verification status for requests of the first request type. Based on a comparison of the received supporting data to the first set of supporting data, the device determines that the supporting data includes the data needed to determine the verification status for requests of the first request type. The device then extracts document data from the received document. The extracted document data is compared to the supporting data. Based on this comparison, a verification status is determined for the request.

Abstract: A device receives a document that includes a request and supporting data associated with the request. The device determines that the received request is a first request type. A first set of supporting data is determined that is needed to determine a verification status for requests of the first request type. Based on a comparison of the received supporting data to the first set of supporting data, the device determines that the supporting data includes the data needed to determine the verification status for requests of the first request type. The device then extracts document data from the received document. The extracted document data is compared to the supporting data. Based on this comparison, a verification status is determined for the request.

Abstract: Aspects of the disclosure relate to using a natural language processing system to analyze mobile application feedback. A computing platform having at least one processor, a memory, and a communication interface may receive mobile application feedback information comprising text feedback associated with feedback of a mobile application. The computing platform may identify one or more nouns associated with the text feedback. The computing platform may identify one or more text feedback topics. The computing platform may generate one or more commands directing a sentiment analysis server to determine one or more sentiments for the one or more text feedback topics. The computing platform may transmit the one or more commands directing the sentiment analysis server to determine the one or more sentiments. The computing platform may receive the one or more sentiments. The computing platform may transmit the feedback topics and the one or more sentiments.

Abstract: Aspects of the disclosure relate to using a natural language processing system to analyze mobile application feedback. A computing platform having at least one processor, a memory, and a communication interface may receive mobile application feedback information comprising text feedback associated with feedback of a mobile application. The computing platform may identify one or more nouns associated with the text feedback. The computing platform may identify one or more text feedback topics. The computing platform may generate one or more commands directing a sentiment analysis server to determine one or more sentiments for the one or more text feedback topics. The computing platform may transmit the one or more commands directing the sentiment analysis server to determine the one or more sentiments. The computing platform may receive the one or more sentiments. The computing platform may transmit the feedback topics and the one or more sentiments.