Abstract: Methods and systems are described herein for manipulating a communication acceptance screen, manipulating an interactive communication acceptance icon, and restricting access to accounts based on voice communication parameters. In particular, when a communication is detected from one device to another device, that communication may be risky. Thus, the risk is mitigated by giving a user information about the source of the communication to give a user a chance to reject the communication. In addition, in instances where the user accepts the communication, the system enables monitoring the communication and restricting any accounts that are disclosed within the communication.

Abstract: Methods, systems, and apparatuses are described herein for improving computer authentication processes through the exclusion of certain merchants that may cause confusion. Indications of a plurality of different merchants, including merchant logos may be received. The indications may be processed to identify at least one similarity between a first merchant and a second merchant. A request for access to an account associated with a user and transaction data corresponding to the account may be received. Based on the similarity between the first merchant and the second merchant, at least one transaction corresponding to the first merchant may be removed to generate processed transaction record. An authentication question may be generated and a candidate response to the authentication question may be received. Based on the candidate response, access to the account may be provided.

Abstract: Aspects described herein may allow for authenticating a user by generating a customized set of authentication questions based on patterns that are automatically detected and extracted from user data. The user data may include transaction data collected over a period of time. By automatically detecting user patterns that correspond to user behavior over a period of time, an authentication system may be able to generate information that is recognizable to an authentic user but difficult to guess or circumvent for any other user.

Abstract: In some embodiments, the present disclosure provides an exemplary method that may include steps of obtaining a permission from the user to monitor a plurality of activities executed within the computing device; continually monitoring the plurality of activities executed within the computing device for a predetermined period of time; identifying an indication of an incoming interaction session within the predetermined period of time; verifying at least one session interaction parameter associated with the incoming interaction session to identify the incoming interaction session as a repeat interaction session; dynamically retrieving at least one relation-specific notation from a plurality of relation-specific notations to display; instructing an input GUI element to display input data associated with the repeat interaction; automatically updating the plurality of relation-specific notations associated with the historical data relationship; and instructing at least one programmable output GUI to display a notif

Abstract: Methods and systems are described herein for manipulating a communication acceptance screen, manipulating an interactive communication acceptance icon, and restricting access to accounts based on voice communication parameters. In particular, when a communication is detected from one device to another device, that communication may be risky. Thus, the risk is mitigated by giving a user information about the source of the communication to give a user a chance to reject the communication. In addition, in instances where the user accepts the communication, the system enables monitoring the communication and restricting any accounts that are disclosed within the communication.

Abstract: Systems and methods of caller identification differentiation via machine learning techniques are disclosed. In one embodiment, an exemplary computer-implemented method may include: receiving a permission indicator identifying a permission by the user to detect calls being received by a computing device; receiving an indication of a current call being received; utilizing a trained call differentiation machine learning model to determine a likelihood that the current call is of a first call type or a second call type, where the first call type is associated with a first type of activity and the second call type is associated with a second type of activity.

Abstract: Systems and methods of the present disclosure enable intelligent dynamic caching of data by accessing an activity history of historical electronic activity data entries associated with a user account, and utilizing a trained entity relevancy machine learning model to predict a degree of relevance of each entity associated with the historical electronic activity data entries in the activity history based at least in part on model parameters and activity attributes of each electronic activity data entry. A set of relevant entities are determined based at least in part on the degree of relevance of each entity. Pre-cached entities are identified based on pre-cached entity data records cached on the user device, and un-cached relevant entities from the set of relevant entities are identified based on the pre-cached entities. The cache on the user device is updated to cache the un-cached entity data records associated with the un-cached relevant entities.

Abstract: In some embodiments, the present disclosure provides an exemplary method that may include steps of obtaining a trained spam upsurge detection machine learning model that determines when a current frequency associated with spam communications received by a current user exceeds a baseline frequency associated with the current user; receiving a permission indicator identifying a permission by the user to detect communications being received by the computing device; receiving an indication of at least one communication being received; determining the at least one communication as a particular spam communication; updating a frequency at which spam communications have been received by the user based at least in part on the particular spam communication; utilizing the trained spam upsurge detection machine learning model to determine that the frequency exceeds a baseline frequency associated with the user; and initiating a scan of one or more dark web resources.

Abstract: Methods, systems, and apparatuses are described herein for improving the accuracy of synthetic authentication questions by analyzing third party account data. A request for access to a first account associated with a user may be received. The first account may be managed by a first organization. A transactions database might be queried for first account data. Second account data corresponding to a second account associated with the user might be received. That second account may be managed by a second organization different from the first organization. One or more second transactions, unique to the second account, may be identified. A synthetic transaction, configured to be different from transactions in the first account and the one or more second transactions, may be generated. An authentication question may be generated based on the synthetic transaction. Access to the first account might be provided based on a response to the authentication question.

Abstract: A method for generating virtual certification number data may comprise: receiving real-time image data from a camera of a user device; parsing location features data from the real-time image data; determining, based on the location features data, a location of the user device; upon determining the location of the user device, detecting, based on the real-time image data, a terminal at the location; upon detecting the terminal at the location, generating virtual certification number data for the user specific to the location; causing the user device to store the virtual certification number data for the user on a memory device associated with the user device; and transmitting the virtual certification number data to the terminal at the location.

Abstract: Various embodiments are generally directed to techniques to provide an orientationless transaction card. Embodiments include a transaction card having a substrate comprising one or more laminated layers and a chip comprising processing circuitry, and memory, the chip embedded within the substrate. The transaction card may also include a first contact pad coupled with the chip, the first contact pad embedded on a first side of the substrate at a first location and a second contact pad embedded on the first side of the substrate at a second location. Further, the transaction card includes an antenna embedded within the substrate, the antenna to couple the chip with the second contact pad.

Abstract: Systems and methods for generating an interactive graphical user interface (GUI) detailing impact data associated with an object, including receiving a user input associated with determining impact data for a first object, obtaining a transmission of a first data packet, generating a search query based on the data associated with the first object and the one or more features of interest of the first object, determining a second object in an inventory that corresponds to the search query, and generating the interactive GUI for display via the user interface.

Abstract: Disclosed embodiments may include a method for authenticating calls for a call center where the user can authenticate before or after starting a call to a call center using an application on a user device. The system determines what level of authentication is necessary depending on the task the user wants to accomplish during the call. The system may direct the user to provide credentials, such as a username and password, for some tasks. Other tasks may require the user to verify their financial card by taking a photo of their financial card or tapping their financial card to their device and allow the device to interact with the financial card using NFC technology. Once appropriately authenticated, the system then allows the user to make a call to the call center and also sends a signal to the call center that the user has been previously authenticated.

Abstract: Methods and systems are described herein for generating deep-linked stochastic image representations of access tokens that embed token access deep links on a mobile application interface. The system may obtain, in connection with a request to register an access token with an account, token data associated with the access token and event data associated with one or more events performed with the access token. The system may generate, for input to a stochastic machine learning model, input vectors using the token data and the event data. The system may obtain, via the stochastic machine learning model based on the input vectors, an image for the access token and may generate, for display on a user interface associated with the account, an image representation of the access token including the image and a deep link to functionality associated with the access token.

Abstract: Methods and systems are described herein for facilitating token use authentication for access tokens using stochastic images. The system may detect an authentication request to authenticate use of an access token. The access token may be associated with a first image previously displayed to an authenticated user of the access token. The system may retrieve the first image previously displayed to the authenticated user and input parameters previously used to generate the first image. The system may obtain, from a stochastic machine learning model based on the input parameters, a second image different from the first image. The system may generate, for display, an image set including the first image and the second image and may receive a selection of the first image from the image set. The system may then grant the authentication request based on the selection of the first image.

Abstract: Methods and systems are described herein for facilitating token use authentication using stochastic-model-derived images. The system may detect an authentication request to authenticate use of an access token and retrieve operation data associated with the access token. The system may determine, based on the operation data, source data associated with a source of a network operation and alternative source data associated with an alternative source. The system may provide, to a stochastic machine learning model, the source data to obtain a first image for the network operation and the alternative source data to obtain a second image for the network operation. The system may then generate, for display, the first image and the second image and may receive a selection of the first image. Based on the selection of the first image, the system may grant the authentication request.

Abstract: This application relates generally to systems and methods for enabling a user device to detect multiple taps from a contactless card. The user device reads the contactless card for a time stamp, replaces the time stamp with a new time stamp, and determines whether the card has been recently tapped.

Abstract: A security system for a network may be configured to detect one or more failed authentication attempts to access the network by at least one user device and determine the number of the failed authentication attempts. The system may determine a first risk score based on the number of failed authentication attempts and determine whether the first risk score is greater than or equal to a first risk score threshold and generate a first notification indicating that the user device is attempting to gain unauthorized access onto the network. The system may transmit the first notification to an administrator of the network, determine the user device is successfully authenticated to access the network after the number of failed authentication attempts has been detected, and apply a first set of network activity restrictions to the user device.

Abstract: Disclosed is a contactless card, and a system in which the contactless card may be used. The contactless card may include a chip component, a communication interface, processing circuitry, and electromagnetic field sensing circuitry. The electromagnetic field sensing circuitry of the contactless card may be operable to provide orientation signals to the processing circuitry when the contactless card is in proximity to an oscillating electromagnetic field output by a card reader device. The processing circuitry of the contactless card may be operable to receive the orientation signals. An orientation of the contactless card with respect to the mobile device may be determined. An orientation indication signal may be generated based on the determined orientation, and a haptic indication, an audio indication, a visual indication or a combination directing movement of the contactless card in a particular direction may be output.

Abstract: Disclosed is a transaction card may include a card body comprising a top surface and a bottom surface opposite the top surface, a chip secured to the top surface of the card body and configured to communicate wirelessly; a feedback element secured to the card body and including one or more tactile elements and a feedback sensor; and a feedback processor in communication with the chip and the feedback element. The feedback processor may, in response to receiving a signal from the feedback sensor indicative of the presence of a thumb or finger of a user on the feedback element and in response to receiving a signal from the chip, drive one or more of the one or more tactile elements to generate tactile feedback for the user.