334 results about "Electronic messaging" patented technology

An example operation may include one or more of storing a data store of credit card documentation, conversing with a user via a chatbot within a chat window of a software application, wherein the conversing comprises receiving natural language inputs with requests for information about a payment card, identifying a benefit obtained by the user based on the conversation, executing a large language model (LLM) on the identified benefit and the data store of the credit card documentation to generate a letter of confirmation, and generating an electronic message with the letter of confirmation attached, and transmitting the electronic message to a user device.

Systems and methods are described for a connected AI agent for managed multidimensional search based on an electronic message and management policies. A messaging application at a client device can send a new electronic message, such as an email, to a connector service. An attachment can be ingested and stored in a vector database. Then one or more artificial intelligence (“AI”) agents can be selected for responding to the body of the email, such as a query in the body. The responses can be formatted and sent to multiple parties, such as a sending user of the electronic message and a recipient that was copied or also sent the new electronic message. The AI agents can use different AI models, prompts, and vector databases depending on user permissions. This allows for building up vector databases with relevant content items and answering user questions based on those vector databases.

Systems and methods are provided for facilitating automated administration of email messages received by a customer service representative including a service email administrator system that reviews incoming email messages, analyzes the content, assesses emotional sentiment, urgency, and determines the best course of action. The conversation administrator is configured to use natural language processing and machine learning algorithms to generate automated responses, provide email response drafts for customer service representative (CSR) review, or route emails to CSRs based on the sentiment or urgency.

Apparatuses, methods, and systems for controlling a visual content of displays of computing devices. One method includes analyzing a success of an electronic message campaign, comprising sensing actions of the recipients in response to electronically receiving electronic messages. Analyzing the success includes a computing device of the recipients receiving an electronic message, an application loaded on the computing device controlling sensing of at least one sensor of the computing device based on reception of the electronic message, the application loaded on the computing device identifying and tracking sensed actions of the computing device, determining a level of engagement of the recipient based on the tracked sensed actions, electronically sending a present electronic message campaign to recipients of an active contact list, and controlling a visual content of displays of computing devices of each of the recipients based on the level of engagement of the recipient.

An electronic message content intercepting system has a virtual keyboard installed by an operating system of a supervised mobile communication device which is configured to process keypresses for software applications executed by the supervised mobile communication device. The system is configured to analyse message text input via the keyboard to identify categorised text strings which may be categorised as inappropriate, offensive, abusive and / or the like. Responsive to the disapproval input the system does not process input of the categorised text string so that the categorised text string is not transmitted to a recipient mobile communication device. However, responsive to the approval input, the system is configured to process input of the categorised text string so that the categorised text string is transmitted to the recipient mobile communication device and the text string is also transmitted to the supervisory mobile communication device for display as an alert.

According to some embodiments, a method performed by a classification scanner comprises receiving an electronic message and determining a classification that applies to the electronic message. The classification is determined based on an express indication from a user. The method further comprises providing a machine learning trainer with the electronic message and an identification of the classification that applies to the electronic message. The machine learning trainer is adapted to determine a machine learning policy that associates attributes of the electronic message with the classification.

Described are systems and processes providing meaningful responses to natural language (NL) prompts issued by a user and providing the responses to the user with configurable interactive components selected based in part on a role of the user that enables the user to engage with the responses in meaningful ways. The configurable interactive components may enable a user to perform certain tasks with output data in a response, such as play content, edit content, and / or perform actions by implementation of software code added to the configurable interactive components. The actions may include implementing approvals, sending electronic messages, and / or scheduling meetings, among many other actions.

Apparatuses, methods, and systems for a computer-implemented method for electronic message generation are disclosed. One method includes receiving, by a server, an input description from a user, scraping, by the server, characteristics of other electronic messages of the user including at least colors and fonts, generating, by the server, N message sections based on the input description and the scraped characteristics, applying, by the server, colors, fonts, and designs to the generated N message sections, filtering, by the server, the generated N message sections to eliminate message sections that include pre-identified undesired characteristics, displaying, by the server, the filtered electronic message sections to the user, and receiving, by the server, feedback from the user regarding the displayed filtered electronic message sections.

This disclosure provides methods, components, devices, and systems for network security and for providing threat notifications in association with threat detections. Some aspects relate to notifications for network security threats detected by a gateway of a network. The gateway may monitor network traffic on the gateway and detect threats using packet inspection, traffic logging, content filtering, and other tools. Upon identification, determination, or detection of a potential threat, a security response mechanism may be implemented that may include providing a notification to a device on the network, to a user on the network, or both. The notification may include one or more of a visual indication, an audible indication, a tactile indication, and an electronic message. The gateway may output the notification to a group of devices based on the predefined preference of each device. The notification may include mitigation procedures usable to mitigate damage associated with the security threat.

Disclosed are systems and methods that provide a decision-intelligence (DI)-based, computerized framework for determining and implementing the mechanisms for compiling and / or displaying a summary of an electronic message within an inbox. The disclosed framework provides novel mechanisms for triaging messaging, in that mechanism for how they are pre-, post- and / or in real-time processed by the server, sender and / or recipient devices pursuant to providing summarizations for an improved user consumption experience. The framework operates to determine which messages are candidates for specific forms of triaging, then queues such messages for summarization according to the mechanism for which it will be delivered. Such determination and summarization can effectuate an improved messaging experience as it relates to how messages are handled by inboxes and / or displayed for interaction by recipient users.

Methods and systems are described for generating a vehicle-to-vehicle traffic alert and updating a vehicle-usage profile. Various aspects include detecting, via one or more processors associated with a first vehicle, that an abnormal traffic condition exists in an operating environment of the first vehicle. An electronic message is generated and transmitted wirelessly, via a vehicle-mounted transceiver associated with the first vehicle, to alert a nearby vehicle of the abnormal traffic condition and to allow the nearby vehicle to avoid the abnormal traffic condition. The first vehicle receives telematics data regarding operation of the nearby vehicle after the nearby vehicle received the electronic message, and transmits the telematics data to a remote server for updating a vehicle-usage profile associated with the nearby vehicle.

Aspects of the disclosure relate to electronic messaging security. A computing platform may push, to a client device, an electronic messaging plugin configured to validate steganographic modifications, embedded in electronic messages by the computing platform. The computing platform may intercept an electronic message directed to the client device. The computing platform may generate a steganographic modification to the electronic message. The computing platform may embed, in the electronic message, the steganographic modification, resulting in a modified electronic message. The computing platform may send, to the client device, the modified electronic message, where the client device may configured to validate, using the electronic messaging plugin, the steganographic modification prior to launching the modified electronic message at the client device.

Various embodiments relate generally to data science and data analysis, computer software and systems, and control systems to provide a platform to implement automated responses to data representing electronic messages, among other things, and, more specifically, to an automated predictive response computing system independent of electronic communication channel of an electronic message payload, the automated predictive response computing system being configured to, for example, implement a universal data space based on, at least in part, conversational data flows, which may be classified and used to provide a predictive response to assist resolution, such as assisting an agent among other things. In an example, a method may include augmenting at least a subset of one or more portions of communication data, implementing augmented communication portion data to determine a predicted response, and generating data to facilitate the predicted response based on the subset of inbound electronic messages.

In some implementations, the techniques described herein relate to a method including: (i) identifying, by a processor, an electronic message addressed to an inbox of a user that comprises a confirmation of a transaction involving a platform, (ii) searching, by the processor, for an additional electronic message addressed to the inbox indicating an alteration applicable to the transaction, (iii) causing display, by the processor, of a prompt informing the user of the alteration applicable to the transaction, (iv) composing, by a large language model (LLM) executed by the processor, a potential electronic message to an operator of the platform requesting the alteration be retroactively applied to the transaction, and (v) in response to receiving user input regarding the potential electronic message, sending, by the processor, a subsequent electronic message to the operator of the platform requesting the alteration be retroactively applied to the transaction.

Among other things, embodiments of the present disclosure improve the functionality of electronic messaging systems by enabling users in an electronic chat conversation to run applications together. In some embodiments, when one user in a chat launches an application, an icon or other visual representation of the application appears in a portion of the chat window (e.g., in a “chat dock”) for other users in the chat to access.

Systems and methods of the present disclosure enable improved content filtering by determining a profile state of the user profile based at least in part on at least one attribute of the user profile and determining a user profile criterion associated with the user profile based on the profile state including a threshold value to trigger a filter parameter associated with the profile objective, where the filter parameter comprises a content type to be processed so as to facilitate achieving the profile objective. The filter parameter is determined based on the profile state surpassing the user profile criterion. A content recognition model is used to identify a message content of each message. An electronic message that matches the content type is identified and filtered at the electronic messaging client to prevent the content from being presented.

In accordance with some embodiments, the method includes: receiving, via the one or more input devices, a request to access a resource protected by a verification code; after receiving the request to access the resource, receiving, at the electronic device, an electronic message; and after receiving the electronic message and while displaying, via the display device, a user interface for inputting the verification code: in accordance with a determination that the electronic message includes content that meets respective criteria, wherein the respective criteria include a format requirement that the electronic message includes content that matches a predetermined format, displaying an insertion affordance that, when selected, automatically inserts the content that matches the predetermined format as a verification code in the user interface.

Systems and methods are disclosed for determining network pairings and a plurality of factors associated with the network pairings for secure and efficient routing of electronic message(s). The method includes receiving a request from a first system for an electronic message associated with an access device of a second system, wherein the electronic message is a special electronic message; determining network pairings between a plurality of networks associated with the access device and a plurality of regional networks for authenticating the electronic message; processing past data associated with the network pairings to determine a plurality of factors for routing the electronic message; and routing the electronic message to at least one of the plurality of networks associated with the access device or at least one of the plurality of regional networks based on the plurality of factors.

A method, apparatus and computer program product are provided for generating a first evaluation message and an alternative evaluation messages in response to an electronic message from a requesting computer. Multiple responses, including a first evaluation message response and at least one alternative evaluation message response are returned to the requesting computer. A user can select one of the multiple responses for further forwarding to a verification system via a service provider computer. The service provider computer further facilitates verification of the selected response, such as an alternative evaluation system, via the verification system. The system enables generation of multiple pricing inquiries for alternative therapy and / or via different pricing schemas, to be imitated by a pharmacy computer upon a patient requesting a prescription refill.

An electronic messaging system has multiple user stations and a master station with which the user stations communicate. Each user station is arranged to receive and display electronic messages, receive an input from a user to indicate an alert relating to one of the electronic messages, display a plurality of predetermined reasons for the alert, and receive an input from a user to select at least one of those predetermined reasons. The master station receives alerts from the users of the user stations, along with predetermined reasons that have been selected by the users. In response, the master station issues credits or other rewards or recognition to the users of the user stations. Data from multiple master stations may be fed to a supervisory station interfacing with a processor that functions as a machine learning or artificial intelligence model.

Systems and methods for authenticating an electronic transaction using a hosted authentication service. The systems and methods determine whether an authentication is required based on a first electronic message received from a first data system. Upon determining the authentication is required, the systems and methods transmit a dummy authentication request and a hosted authentication service uniform resource locator to the first data system. The systems and methods further determine or receive an indication whether a user authentication challenge is required based on a transaction risk analysis by a second data system. Upon determining the user authentication challenge is required, the systems and methods provide, at a user interface, an electronic form including a challenge request. The systems and methods transmit, to the first data system, another electronic form including a dummy authentication response generated based on a challenge result.

Computer-executed methods for training users to discern electronic phishing messages to reduce risk of threats to the integrity of computing systems and / or computing resources. In some embodiments, the methods involve gamifying the training to motivate users to participate in the training. In some embodiments, gamification includes instructing electronic-messaging-system users to forward suspected phishing messages for analysis. The analysis may include automatically determining one or more of a variety of factors for each forwarded suspected phishing message, such as whether or not the suspected phishing message is an actual phishing message, whether or not the reporting is an original reporting, and how quickly the user made the report. In some embodiments, points are awarded based on the analyzed factors. In some embodiments, the methods involve building phishing knowledgebases for automatic electronic-message filtering. Software for performing disclosed methods or one or more portions thereof.

Methods and systems are described herein for generating parameterized records using communications data. A generation system may be used to facilitate generating the parameterized records. The system may encode a plurality of electronic messages into bag-of-words embeddings and input a plurality of bag-of-words embeddings into a machine learning model to identify electronic messages containing itemized records, each including corresponding item identifiers. The system may transmit a request to identify server records associated with the itemized records, wherein the request comprises the corresponding item identifiers, and wherein the record identification server uses the corresponding item identifiers to identify the itemized records. The system may receive the server records each of which includes corresponding parameters. The system may, in response to determining that the corresponding parameters match sets of a plurality of sets of criteria, generate a parameterized record for the itemized records including the itemized records and corresponding parameter data.

Apparatuses, methods, and systems for transforming a message of a first channel to a message of a second channel. One method includes receiving, by a server, a first channel electronic message, wherein the first channel electronic message includes a formatted message that includes at least text, extracting and prioritizing the at least text of the formatted message of the first channel electronic message, including converting the at least text of the formatted message of the first channel electronic message into machine-encoded text, and prioritizing text of the machine-encoded text based on at least a size and placement of the text of the formatted message. The method further includes drafting, by the server, a set of second channel electronic messages based on the prioritized text, and electronically sending the set of second channel electronic messages to recipients.

Arrangements for detecting an email deluge are provided. A computing platform may train an artificial intelligence (AI) engine. The computing platform may receive a group of electronic messages. The computing platform may identify a user profile based on an electronic user identifier associated with the group of electronic messages. The computing platform may determine one or more electronic characteristics based on content associated with the group of electronic messages. The computing platform may generate one or more rules to determine whether a deluge has been detected. Based on determine that a deluge has been detected, the computing platform may quarantine the group of electronic messages and / or perform other actions.

According to some embodiments, a method performed by a classification scanner comprises receiving an electronic message and determining whether the electronic message includes an express indication from the user indicating that a classification applies to the electronic message. In response to determining that the electronic message does not include the express indication that the classification applies to the electronic message, the message further comprises sending the electronic message to a machine learning scanner. The machine learning scanner is adapted to use a machine learning policy to determine whether the classification applies to the electronic message.

A system and method are provided by which an electronic address associated with a user is monitored. Based on the monitoring, an electronic message is detected including a digital document. A cryptographic function is applied to the digital document to generate a hash which is rendered accessible at a network location. An identification of the network location of the hash is transmitted to a first computing system associated with the user.

An example method for managing messaging for multiple messaging accounts includes displaying, at an electronic device, an aggregated messaging user interface (UI) that includes data from a plurality of user accounts associated with one or more messaging application. The method further includes detecting a selection of a UI element for creating a new message via at least one respective user account of the plurality of user accounts. The method includes, after detecting the selection, and after determining that messaging capabilities for two or more respective user accounts of the plurality of user accounts are enabled, presenting: (i) a first selectable option that, when selected causes the electronic device to initiate creation of a message for a first respective user account, and (ii) a second selectable option that, when selected, causes the electronic device to initiate creation of a message for a second respective user account.