Abstract: Methods and systems are described for verifying an identity of a user through contextual knowledge-based authentication. The system described uses contextual knowledge-based authentication. By verifying an identity of a user through contextual knowledge-based authentication, the verification is both more secure and more intuitive to the user. For example, by relying on confidential and/or proprietary information, the system may generate verification questions, the answers to which are known only by the user.

Abstract: In some embodiments, stochastic images related to events may be used to facilitate detection of malicious or unauthorized activity. The system may receive event data associated with an event performed in connection with a token. The system may generate a token embedding based on the event data and may obtain, via a stochastic machine learning model based on the token embedding, an image related to the event. The system may generate, for display, the image and the event data. In some embodiments, the image may be deep-linked to functionality for submitting feedback relating to the event. The system may receive feedback related to the image indicating an invalid event. Based on the feedback related to the image, the system may perform a remedial action related to the token or to the event.

Abstract: Systems and methods for authenticating a user may include transmitting a request for a first set of information after validation of authentication information; receiving a response comprising the first set of information; parsing the first set of information using one or more template-based algorithms by scanning one or more websites to determine publicly available information associated with a user; comparing compare one or more results of the parsing with a second set of information to yield compromised information associated with the user; eliminating one or more portions of the second set of information based on the comparison; presenting a third set of information to authenticate the user based on the elimination and by supplementing the first set of information with a fourth set of information; and presenting a fifth set of information to authenticate the user if the third set of information fails to reach a predetermined threshold number.

Abstract: Example embodiments of systems and methods for data transmission system between transmitting and receiving devices are provided. In an embodiment, each of the transmitting and receiving devices can contain a master key. The transmitting device can generate a diversified key using the master key, protect a counter value and encrypt data prior to transmitting to the receiving device, which can generate the diversified key based on the master key and can decrypt the data and validate the protected counter value using the diversified key.

Abstract: In some implementations, a front-end device may receive a physical identifier associated with the user. Accordingly, the front-end device may select a plurality of images, where each image corresponds to a unique integer of integers zero through nine. The front-end device may show, on a display, the plurality of images and receive audio that includes a sequence of words that describe a subset of the plurality of images. Accordingly, the front-end device may map the sequence of words to the subset of the plurality of images and determine a first sequence of numbers corresponding to the subset of the plurality of images. Therefore, the front-end device may authenticate the user based on the first sequence of numbers matching a second sequence of numbers associated with the user.

Abstract: In certain embodiments, image-feature malicious-activity detection and access prevention may be facilitated, where an activity notification associated with a transaction triggers feature detection for at least one image related to a different transaction. In some embodiments, a first image (received in connection with a first transaction) may be associated with the first transaction, and a second image (received in connection with a second transaction) may be associated with a second transaction. In response to a malicious activity notification associated with the first transaction, an identifying characteristic (e.g., a facial feature) detected in the first image may be used to determine whether to prevent access to an account related to the second transaction. As an example, in response to determining that the identifying characteristic is present in the second image, access to the account related to the second transaction may be prevented.

Abstract: A system and method for allowing a single live customer service agent to simultaneously serve multiple customers. According to various embodiments, a virtual agent operates at the front end to receive and attempt to handle customer issues. The virtual agent employs speech recognition and intent mapping in order to generate a proposed response that attempts to identify and resolve customer issues. In some scenarios, the proposed response includes both a response message and a response action to be taken. A chat history and the proposed response is then provided to the live agent. The live agent reviews the information provided, and determines whether the proposed response is appropriate. The live agent then approves the response or revises or replaces the response. The final response is sent back to the virtual agent for processing and providing to the customer.

Abstract: A method may include receiving activity data associated with a user, wherein the activity data relates to online activity involving a product type, identifying the product type associated with the activity data, and predicting, based on the activity data, that the user is likely to purchase a product of the product type. The method may include generating, based on predicting that the user is likely interested in purchasing the product of the product type, an annotation to indicate that a potential transaction to purchase the product is forthcoming, and storing the annotation in a profile associated with an account of the user. The method may include detecting a transaction to purchase the product, wherein the transaction involves a payment from the account, and performing an action associated with a fraud analysis of the transaction based on the annotation.

Abstract: Disclosed embodiments may include a system for providing customized recommendations via data analysis. The system may receive transaction data associated with a user. The system may cause a user device associated with the user to display a notification prompting the user to provide image data. The system may receive the image data. The system may identify, from the image data via computer vision, first object(s). The system may generate, via an MLM, first item recommendation(s) based on the first object(s). The system may cause the user device to display, via the GUI, the first item recommendation(s). The system may receive type(s) of travel data. The system may generate, via the MLM, second item recommendation(s) based on the type(s) of travel data. The system may transmit, to a merchant system, a request to purchase at least one item at a predefined location based on the second item recommendation(s).

Abstract: Systems, methods, and apparatuses for proactive generation of biometric signatures are described. Based on a first biometric signature matching a first authenticated signature, an indication of portions of the biometric input that will be different after a second time may be generated. A second authenticated signature based on the indication and the biometric input received at the first time may be generated. A second biometric signature based on the indication and the biometric input received after a second time may be generated. Based on the second biometric signature matching the second authenticated signature, a prompt requesting authorization to generate a third authenticated signature based on the biometric input received after the second time may be generated. Based on receiving authorization to generate a third authenticated signature, a third authenticated signature may be generated.

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: Disclosed embodiments may include a method for systems and methods for providing mobility-impaired transactional or identify documents processing. The method may include receiving login credentials associated with an account and a request to deposit a check into the account, and identifying, using an image recognition model, a presence of a check in a visual field of the image capture device. Then the method may include obtaining, via the image capture device, a plurality of digital images of a front side of the check, and generating, based on the plurality of digital images of the front side of the check, a composite image of the front side of the check. The method may further include creating a recording of an endorsement gesture and transmitting the composite image of the front side of the check and the recording of the endorsement gesture to a back-end server.

Abstract: In some implementations, a user device may obtain an input stream, wherein the input stream is obtained via a virtual keyboard provided by the user device. The user device may process the input stream to determine that the input stream includes particular information. The user device may cause, based on determining that the input stream includes the particular information, one or more security parameters associated with an account of a user of the user device to be modified.

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: A device may receive an input that indicates a request to initiate a transaction at an ATM device. The device may instruct the user to capture one or more images of the ATM device. The device may determine that an image has been captured and process the image to determine first information that identifies the ATM device. The device may send the first information to a server device and receive a signal that indicates the ATM device has been validated. The device may cause an augmented reality (AR) overlay to be displayed, wherein the AR overlay includes second information related to authenticating the user to the ATM device. The device may determine whether a user action is performed with respect to the second information included in the AR overlay, and perform a device action related to the second information, the ATM device, or the AR overlay.

Abstract: Embodiments disclosed herein generally related to a system and method for assessing a fraud risk. In one embodiment, a method for assessing a fraud risk is disclosed herein. A web browser extension executing on the computing device identifies an account associated with the computing device. The web browser extension detects that the computing device navigated to a web page hosted by a third party server. The web browser extension determines that the third party server prompted the computing device to opt into two-factor authentication functionality. The web browser extension determines that the computing device did not opt into the two-factor authentication functionality. The web browser extension prompts, via an application programming interface (API), an organization computing system to update a fraud metric associated with the account.

Abstract: Embodiments of systems and methods for generating virtual account-linked cards are described. A virtual account-linked card may be generated in response to a determination that a physical account-linked card has been forgotten at a card reader and ingested by the card reader. A virtual account-linked card may be restricted such that it can only be used to execute a transaction with authorized transaction partners identified in a database.

Abstract: In some implementations, a system may receive interaction data corresponding to an interaction associated with a particular user of a plurality of users. The system may determine, based on the interaction data, one or more interaction categories associated with the interaction. The system may store the interaction data as historical interaction data associated with historical interactions of the particular user. The system may determine, based on the historical interaction data, experience statuses associated with the particular user in at least a subset of the plurality of categories. The system may receive, from a user device of the particular user, review data indicating a review associated with a historical interaction of the particular user. The system may store the review as historical review data. The review may be associated with one or more experience statuses of the particular user in the one or more interaction categories associated with the historical interaction.

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: Embodiments are directed to systems and techniques to perform device matching during a customer service call. In some examples, the techniques provided herein include receiving, at a call center system, a communication from a device associated with a user account. The method further includes, in response to receiving the communication, sending a message to the device associated with the user account, the message including a link for a user to interact with on a user interface of the device, wherein interaction with the link by the user causes initiation of an application on the device for receiving encrypted data from a contactless card associated with the user account. The method further includes receiving, by the call center system, from an authentication server, an authorization message indicating whether the user account is authorized to maintain the communication based on an evaluation of the encrypted data by the authentication server.