Abstract: A transaction card assembly may include a card body comprising a first face and a second face opposite the first face; a receiving portion formed on the first face of the card body; and a first removable magnetic strip assembly comprising a first magnetic strip and a first attachment portion. In a first configuration, the first removable magnetic strip assembly may be coupled to the card body via engagement between the first attachment portion and the first magnetic strip, and in a second configuration, the first removable magnetic strip assembly may be uncoupled from the card body by disengagement between the first attachment portion and the first magnetic strip. In the second configuration, the first removable magnetic strip assembly is configured for reuse with an additional card body, the additional card body being different than the card body.

Abstract: In some implementations, an intelligent medium selection device may receive, via a user interface, multiple wireless signals, wherein each wireless signal, of the multiple wireless signals, corresponds to a respective medium, of multiple mediums being presented at the user interface. The intelligent medium selection device may determine whether at least one medium, of the multiple mediums, is associated with a medium order priority profile. The intelligent medium selection device may determine, based on determining whether that at least one medium is associated with the medium order priority profile, a selected medium, of the multiple mediums, to be used for an electronic exchange of information. The intelligent medium selection device may execute the electronic exchange of information using the selected medium.

Abstract: A transaction card assembly may include a card body comprising a first face and a second face opposite the first face; a receiving portion formed on the first face of the card body; and a first removable magnetic strip assembly comprising a first magnetic strip and a first attachment portion. In a first configuration, the first removable magnetic strip assembly may be coupled to the card body via engagement between the first attachment portion and the first magnetic strip, and in a second configuration, the first removable magnetic strip assembly may be uncoupled from the card body by disengagement between the first attachment portion and the first magnetic strip. In the second configuration, the first removable magnetic strip assembly is configured for reuse with an additional card body, the additional card body being different than the card body.

Abstract: An automated teller machine (ATM) may include an input component and one or more processors. The input component may be configured to detect multi-factor input associated with an account. The multi-factor input may include at least two of: a sequence of characters input via the input component, a force with which at least one character, of the sequence of characters, is input via the input component, a length of time over which at least one character, of the sequence of characters, is input via the input component, or a combination of at least two characters, of the sequence of characters, that are input concurrently via the input component. The ATM may receive the multi-factor input, validate the multi-factor input in association with the account, and selectively permit or deny access to one or more actions associated with the account based on validating the multi-factor input.

Abstract: A device receives a transaction request concerning a transaction and a transaction card from a transaction terminal, and determines, based on the transaction request, information concerning the transaction card. The device sends, based on the transaction request and to a user device, a query concerning possession of the transaction card by a user of the user device, where the query includes an instruction for the user to confirm possession of the transaction card via a component of the user device. The device receives, from the user device and after sending the query to the user device, a response concerning possession of the transaction card by the user, and determines, based on the response and the information concerning the transaction card, whether the user has possession of the transaction card. The device performs, based on determining whether the user has possession of the transaction card, at least one action.

Abstract: A device may receive an indication that an ATM transaction is to be conducted, display prompt(s) for a user to input user authentication credential information and to select an ATM transaction type, detect user input(s) that include a user authentication credential and a selection of a particular ATM transaction type, and receive, from an ATM device, a request to establish a communication session. The ATM device may include a sync button to initiate communicative coupling of the ATM device and the user device. The request may be based on a user selection of the sync button. The device may communicatively couple to the ATM device, and provide, to the ATM device, the user authentication credential and data regarding the particular ATM transaction type to cause the ATM device to perform the ATM transaction. The device may display information regarding the ATM transaction.

Abstract: Aspects provided may allow for an entity to deactivate a virtual card number (VCN). In particular, aspects provide for deactivating VCNs based on a frequency or periodicity of an interaction. After deactivation, the entity may block future charges to the VCN. Further aspects provide for using incoming charge data sent to one or more previous users to train a machine learning model to determine the frequency or periodicity of the interaction. Additional aspects may also provide for including trial length when determining the deactivation date, providing VCN configuration options to a user, and notifying the user based on upcoming and current VCN status changes.

Abstract: The present disclosure describes a machine learning model trained to identify social engineering attacks. A prompt may be provided to a generative artificial intelligence to create communications resembling social engineering attacks. The communications may be inputted into a machine learning model to train the machine learning model to identify social engineering attacks. The machine learning model may also be trained on actual social engineering attacks. Once trained, the machine learning model may be deployed to monitor a plurality of communication channels to detect social engineering attacks. Upon detecting a social engineering attack, a system may implement one or more remedial actions to mitigate the detected social engineering attack.

Abstract: Embodiments disclosed herein generally related to a system and method for authenticating a transfer request. A computing system receives a transfer request from a client device. The computing system determines that the monetary amount specified in the transfer request exceeds a threshold. The computing system identifies an automated teller machine (ATM) based on at least location information associated with a user of the client device. The computing system prompts the user to authenticate the transfer request at the identified ATM by transferring a message to the client device to be displayed thereon. The computing system receives an authentication attempt of the user from the ATM. The computing system compares authentication information in the authentication attempt to personal identification information associated with the user. The computing system determines that the authentication information at least partially matches personal identification information associated with the user.

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: Aspects described herein may improve predictions of real-time user intent by generating multi-modal embeddings based on previous user interactions. The previous user interaction data may be received from multiple different modalities. The interaction data may be analyzed and labeled with user intent for each previous user interaction, then sequentially organized. The multi-modal embeddings may be generated by modal-specific encoders and a multi-modal embeddings generator. A trained machine learning model may use, as input, the multi-modal embeddings and personal data to determine real-time user intent at the beginning of an interaction. The multi-modal embeddings may act as a set of unique and specific output vectors that allow a computing device to recognize and correlate synonymous terms and interrelated subjects, usually a difficult task for computing devices, thereby improving the technological process of analyzing, in real-time, user intent.

Abstract: A computer-implemented method may include: obtaining image data of a physical item, extracting, based on the image data, a portion of an account key and one or more of a plurality of items, identifying a custodian, transmitting at least one of the portion of the account key and the one or more of the plurality of items, and receiving a virtual certification number generated by the application programming interface based on the one of the portion of the account key and the one or more of the plurality of items and associated with the account.

Abstract: A system and method of establishing a communication session is disclosed herein. A computing system receives, from a client device, a content item comprising text-based content. The computing system generates a mark-up version of the content item by identifying one or more characters in the text-based content and a relative location of the one or more characters in the content item. The computing system receives, from the client device, an interrogatory related to the content item. The computing system analyzes the mark-up version of the content item to identify an answer to the interrogatory. The computing system generates a response message comprising the identified answer to the interrogatory. The computing system transmits the response message to the client device.

Abstract: A method may include receiving, using a computing device, a first video (FV), the computing device including a first media query (FMQ) associated with a first size (FS) of a viewport and a first rule (FR) and a second media query (SMQ) associated with a second size (SS) of the viewport and a second rule (SR), and the FV being associated with a DRM technology (DRMT) and a first value of an attribute, the first value satisfying the FR. The method may include outputting the viewport at the FS and the FV to a display, the FV being configured to be presented within the viewport outputted to the display. The method may include detecting the SS of the viewport on the display, and transmitting a request for a second video associated with the DRMT and a second value of the attribute, the second value satisfying the SR.

Abstract: Described are systems and methods for determining a content element associated with sensitive information, including receiving a content element and locative data associated with the content element, determining whether the content element includes sensitive information, upon determining the content element includes sensitive information, encrypting the content element using DRM technologies to generate a DRM-protected content element via an application server; and causing to output, via a graphical user interface (“GUI”), the DRM-protected content element based on the locative data associated with the one or more content elements determined to include sensitive information.

Abstract: The present disclosure provides an exemplary method, system, and computing device that may include the steps of receiving a first indication that information of a user has been detected at one or more dark web resources; classifying the item of the compromised information into an information type category; receiving a permission indicator to detect communications by the computing device; receiving a second indication of a communication; receiving a third indication that the user engages an interaction with the communication; instructing the computing device to execute a technique to obtain data for the communication; receiving the data for the communication; determining the communication is a spam communication; determining a current information type category being discussed during the spam communication; making a determination that the current information type category corresponds to the information type category; and instructing a graphical user interface to display an alert to the user.

Abstract: A method may include determining, using a browser module of a computing device, whether a content element representing a first portion of a webpage includes sensitive information. The computing device may include a secure display path. The method may include determining, using the browser module, whether the secure display path is enabled in response to determining that the content element includes the sensitive information. The method may include outputting, using the browser module, the content element to a display screen associated with the computing device via the secure display path, in response to determining that the secure display path is enabled. The method may further include outputting, using the browser module, a second portion of the webpage to the display screen associated with the computing device.

Abstract: Described are systems and methods for reducing compute in digital rights management (“DRM”) protection, including generating, via an application server, first media associated with first sensitive information, wherein the first media is substantially transparent and the first sensitive information is associated with a first content element, modifying, via the application server, the first media such that the first media includes at least one DRM technology to generate first DRM-protected media, generating, via an application server, first media associated with first sensitive information, wherein the first media is substantially transparent and the first sensitive information is associated with a first content element, causing to output, via a graphical user interface (“GUI”), the first DRM-protected content element such that the first DRM-protected media is displayed.

Abstract: A method may include receiving, using a browser module of a computing device, a first webpage, wherein the first webpage is associated with a content element. The method may include receiving, using the browser module, a video, wherein the video is associated with the content element and a digital rights management technology. The method may include forming, using the browser module, an HTML element including the video. The method may include outputting, using the browser module, at least a portion of the first webpage to a display screen. The method may include outputting, using an operating system of the computing device, the video of the HTML element to the display screen, wherein the video is configured to be overlaid on the at least a portion of the first webpage on the display screen. The method may include storing, using a storage component of the computing device, the outputted video.

Abstract: A method may include receiving, using a browser module of a computing device, a decrypted video from a content decryption module, wherein the decrypted video is associated with a content element and a digital rights management technology. The method may include forming, using the browser module of the computing device, a HyperText Markup Language (HTML) element including the decrypted video. The method may include outputting, using an operating system of the computing device, the decrypted video of the HTML element to a display screen associated with the computing device. The method may include determining, using the operating system of the computing device, whether the outputted video is being played on the display screen. The method may also include transmitting, using the operating system of the computing device, the determination to the content decryption module.