417 results about "Electronic mail" patented technology

Computerized systems and methods for automated Access Permissions Review in an organization. A method includes: (a) receiving a textual description of an Access Review Policy; (b) constructing a trigger for automatically initiating an Access Review process; (c) automatically collecting organizational data that pertains to: (i) roles and positions of users, (ii) user-specific characteristics, (iii) email messages sent and received by users, (iv) description of events in which users had accessed elements of the Organizational Resource. Upon a triggering of the trigger, the method provides to a fine-tuned Large Language Model (LLM), the Access Review Policy and augmentation data from the organizational data, and a prompt instructing the LLM to generate a proposal to revoke, modify, add or maintain the Access Permissions of a particular user, and further instructing the LLM to generate output that describes reasoning and supporting evidence for the proposal.

A system and method for privacy-preserving communication validation and multi-attribute trust scoring is disclosed. The system analyzes communication metadata to determine pattern legitimacy by comparing current communication patterns against relationship fingerprints without accessing communication content. The system validates relationship context between communicating parties using interaction graph analysis and historical communication data. Cross-network intelligence correlation compares current patterns against aggregated patterns across voice, email, and messaging services, creating a self-strengthening security framework that recognizes emerging threat patterns while validating legitimate communication behaviors. The system generates comprehensive multi-attribute trust assessments comprising individual trust attribute scores including engagement rate, reliability index, channel preference, temporal pattern, and behavioral pattern, combined into overall trust levels. Trust context is displayed through a user interface presenting simplified, intuitive, and actionable information with progressive disclosure capabilities, enabling informed user decisions while preserving privacy. Communication processing actions provide users with appropriate engagement options tailored to specific trust assessment results.

System and method for managing information compliance and relevance using autonomous artificial intelligence (AI) agents in data transfer and communication environments. Some embodiments may include a core orchestration engine with multiple autonomous AI agents configured to manage and evaluate the compliance and relevance of information in communication and data transfer environments. The system may use weighted metrics to assess if information and actions comply with regulations and are pertinent to recipients, monitor email and data transfer, ensure regulatory compliance, and enhance information and knowledge sharing within organizations. The system may use semantic embeddings, part-of-speech analysis, and language models to extract and apply regulatory rules efficiently. These features may significantly reduce search space, computational overhead, and manual effort while improving security and accuracy.

Example solutions for reducing the likelihood of hallucinations by large language models (LLMs) and improving the relevance of generated text are disclosed. A set of multiple of machine learning (ML) models, each custom-trained to identify a different specific topic within text, dynamically generate multiple topic-specific prompts from a received email in an email thread. A user, responding to the prompts, produces material that is used in conjunction with customer relations management (CRM) data and enterprise suite data (e.g., calendar / schedule information) to dynamically generate an LLM prompt. An LLM, using the prompt, generates output text suitable for a business correspondence, such as a reply email, to the sender of the email. The combination of the responses to the multiple topic-specific prompts and the CRM and enterprise suite data in the LLM prompt both ensures relevance of the reply correspondence and minimizes the risk of hallucinations.

Disclosed is a system and method for pre-emptive detection, attribution, and reversal of outbound data leaks and impersonation-based attacks occurring beyond traditional enterprise endpoint security boundaries. An outbound instrumentation gateway may insert telemetry identifiers into outbound electronic communications, enabling persistent tracking of message interactions within external or third-party domains. A RAPTORAI analytics engine may process metadata collected from these interactions using a multi-stage artificial-intelligence pipeline that combines predictive anomaly modeling and large-language-model (LLM) attribution. When anomalous or malicious behavior is detected, a Double DLP remediation engine may be activated, which is capable of pausing, auto-locking, or revoking message access after transmission but before compromise. A PRE-Crime telemetry layer provides visibility into early-stage reconnaissance activities by threat actors operating beyond the endpoint, thereby reducing mean time to detect (MTTD) and mean time to respond (MTTR) to effectively zero. Administrative dashboards present live analytics of third-party risks, reconnaissance indicators, and auto-remediation events.

An operation method of an email security system comprises the steps of: configuring security threat information synchronization data by synchronizing targeted email security threat information configured by performing a targeted email security threat inspection on an inbound mail with targeted email security threat information configured by performing a targeted email security threat inspection on an outbound mail; performing a targeted email security threat inspection corresponding to a new inbound mail or a new outbound mail using the security threat information synchronization data; and performing a targeted email security threat response process according to the targeted email security threat inspection of the new inbound mail or the new outbound mail.

A media is created. The media may be a document, an image, a video file, an audio file, a real-time communication session, an email, a chat session, and / or the like. The media is associated with a plurality of authentication levels. For example, the media may use a first authentication level that requires a username / password and a second authentication level that requires a fingerprint scan of a user. The media is created based on a security process according to the plurality of authentication levels. For example, the security process may be an encryption process and / or a tokenization process. The media is divided into a plurality of sections based on the plurality of authentication levels. The security process is applied to the plurality of sections based on the plurality of authentication levels.

A representation of an email application includes a message view comprising a plurality of email messages. In response to receiving an indication that a new email message has been received, a prompt is generated for input to a large language model (LLM). The prompt is usable to cause the LLM to analyze content of the new email message and determine a priority of the new email message. The priority is localized to a context based at least in part by a recipient and sender of the new email message.

Systems and methods translate and govern directives across heterogeneous platforms. In some embodiments, directives are normalized into a common intermediate representation (CIR) for validation, conflict handling, and deployment. In other embodiments, a direct semantic mapping engine converts source directives directly into target-native, machine-executable directives without a CIR and without normalization, consulting a platform capability database and synthesizing target-compatible scripts, profiles, workflows, or rules where native primitives are absent. Ephemeral triggers (e.g., time window, incident, risk, posture, geofence) cause generation and atomic activation of temporary directives that supersede baseline directives for a defined scope and interval, with withdrawal on expiry to restore the baseline. Adapters actuate across families including cloud control planes, operating systems (Windows / macOS / Linux), IoT / OT, Kubernetes, identity, email / DLP, browser, and SaaS / social platforms. Both approaches share validation, simulation, and governance / deployment engines supporting approvals, audit logging, staged rollout, rollback, and continuous feedback.

Methods, systems and software designs are disclosed that may be used to enable simple, safe and secure transfers of digital assets such as cryptocurrencies, fungible tokens, and non-fungible tokens (NFTs) from a transferor to a recipient through a payment channel established by a smart contract on a blockchain. Transfers are enacted by the recipient presenting a voucher to the smart contract, said voucher being digitally signed by the transferor and transmitted to the recipient at a prior date and time. The voucher may be transmitted through an out-of-band channel, for example, through email, or a messenger application, and may take the form of a quick-response code (QR code), a base 64 encoded string, a hexadecimal string or some other representation. The smart contract may impose limitations on a minimum and / or maximum amount that may be transferred, and on a time period in which the voucher may be redeemed.

The technology provides mechanisms to set criteria for when a scheduled send of a communication, such as an email, text message, chat message, etc., should occur. The criteria can be based on the state of a user's message inbox, their communication channels, and / or the status or actions of others to be communicated with. Machine learning can be used to either generate the criteria for when or how to respond, or to generate a recommended response. The system can reformat a communication by changing the tone of a message, or rework the communication for transmission in an alternative format / medium via a different messaging app. This can involve changing from an email message to a chat or audio message, replacing text with emoji or the like, adding visual indicia to the communication, and / or adding audible information to the communication.

An interactive communication apparatus, which connects to a computer, comprises an interactive communication device, having a tag, that is removably placed on or adjacent to an interactive communication device holder, having a sensor, wherein the tag communicates information to the sensor. The interactive communication system enables a user to transfer, store or retrieve information about and / or to a person that is identified with that interactive communication device. Once the interactive communication device is placed on or adjacent to the interactive communication device holder, certain communication applications, which include, photo slideshow, chat, e-mails, music, videos, and RSS feed, launch. The user can terminate the applications by removing the interactive communication device from the interactive communication device holder. The user can access content related to a new person by placing another interactive communication device, that corresponds to the new person, on or adjacent to the interactive communication device holder.

Artificial intelligence (AI) supported interactive platforms for generating captive insurance policy proposals based on standard market insurance policy data are described. An example system includes one or more processors configured to execute machine-readable instructions to ingest standard market insurance policy documents, extract structured policy data from the standard market insurance policy documents, generate a captive insurance policy proposal based on the structured policy data, implement client engagement features configured to facilitate generation and delivery of an email that includes the captive insurance policy proposal as an attachment thereto, and implement a graphical user interface including a dashboard having one or more dashboard layers, the dashboard including first, second, and third areas respectively configured to enable a user of the system to invoke the ingestion of the standard market insurance policy documents, invoke the generation of the captive insurance policy proposal, and invoke the implementation of the client engagement features.

Aspects of the disclosure relate to providing a flexible and automated system for automatically detecting when emails include harmful content, flagging the emails, providing interactive reporting functionality, and providing follow-up enforcement actions to protect users. A computing platform may intercept an email in transit to an email server. Subsequently, the computing platform may analyze the email and generate at least one unique link for reporting suspicious content associated with the email. Next, the computing platform may generate an email warning tag comprising text information and the at least one unique link for reporting the suspicious content associated with the email. Then, the computing platform may inject the email warning tag into the email to produce a modified email comprising content from the email and the email warning tag, and may send the modified email to the email server.

This invention provides a method and apparatus for retrospectively verifying data in multipurpose internet mail extension (MIME) encapsulated data exchange, such as in email systems. [Solution] A more reliable and efficient retrospective data verification method for MIME and S / MIME application scenarios such as email systems and file transfers involves generating a unique and tamper-proof data tag for the proof data using extended information and proof elements determined by the evidence provider during verification, storing the data tag with the evidence keeper, and the evidence retriever responding to a retrospective data verification request by obtaining the target data tag from the evidence keeper and further verifying the data based on the target data tag.

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.

This invention provides a program, communication terminal, and upload method that enable a server to easily perform checks on information related to legal documents without requiring complex operations. [Solution] The program causes the computer to perform the following steps: receive a first email with a first file representing a legal document attached; display a first icon representing the first file and the body of the first email on the mailer; and upload first email information, which represents at least one of the first file and the body of the first email, to the server while the user is not responding to any operations on the first icon. On the server, the first email information is checked as it is uploaded.

A system is provided.SOLUTION: A system comprising: means for receiving an emergency alert mail; means for obtaining location information; means for searching for shelter information; means for summarizing and translating information using generative artificial intelligence; and means for interacting with a user.SELECTED DRAWING: Figure 1

The invention discloses an E-mail processing method and a storage medium. The method comprises the following steps: acquiring a target E-mail; extracting target email features of the target email, determining a matching result of the target email features based on a preset abnormal email feature library, and determining a first category identifier of the target email according to the matching result; if the first category identifier represents that the target E-mail is a normal E-mail, sending an E-mail category detection request to a cloud server; receiving a second category identifier sent by the cloud server; the second category identifier is obtained by performing mail category detection on each target attribute feature by the cloud server based on a preset cloud detection strategy corresponding to each target attribute feature; if the second category identifier represents that the target E-mail is a normal E-mail, the target E-mail is sent to the target mail receiving account, the abnormal E-mail can be detected comprehensively, accurately and rapidly, and the probability that the user receives the abnormal E-mail is reduced.

A system is provided.SOLUTION: Means for automatically generating a new customer list based on conditions such as a business type, an area, a related keyword, and a sales scale, means for automatically creating an appropriate reply / follow-up mail in response to an inquiry from a customer, means for automatically generating an estimate from a price list of a product or a service, customer behavior analysis means for creating a marketing measure from a purchase history or an access history, competition investigation means for analyzing a differentiation point of a product or a service of a company, means for creating an assumed question and answer before a direct business negotiation with a customer, means for calculating the required time and proposing the shortest approach to closing.SELECTED DRAWING: Figure 1

The technology creates dynamic headers to organize electronic messages in a message client software application on a user device. The technology involves configuring criteria for headers to dynamically separate messages into groups based on metadata such as time parameters, sender, recipients, and urgency. Headers are generated and inserted into the user interface to separate messages that meet the criteria from those that do not. The criteria can be reconfigured, causing the headers and associated messages to be dynamically repositioned. The technology can reconfigure headers to dynamically modify display of the messages. The technology supports user input for criteria configuration and utilizes generative AI models to process metadata and generate headers, enhancing the organization and presentation of electronic messages.

We provide the system. [Solution] A means of entering candidate information, A means of analyzing the entered candidate information to identify the candidate's skill set and career path, A means for generating customized interview questions based on analyzed information, A method for generating a follow-up email to send after the interview, A means of collecting feedback from interviewers and updating the interviewer training program, A system that includes this.

In one aspect, an apparatus may include a processor system (24) and storage (28) accessible to the processor system. The storage may include instructions executable by the processor system to access (400) an email received at a recipient email account and to parse (410) data related to the email. Based on the parsing of the data, the instructions may be executable to determine (420) whether to take at least one action to help avoid a potential phishing instance based on bogus or look-alike email addresses. Based on a determination to take at least one action to help avoid the potential phishing instance, the instructions may be executable to take (440) at least a first action to help avoid the potential phishing instance. Thus, various techniques may be implemented to help avoid phishing attempts from email addresses that would look legitimate to an unsuspecting user, helping to prevent fraud, cybertheft, and other malicious phishing outcomes.

A user may register with a fleet system responsible for remote management of a fleet of endpoint devices. The fleet system can determine a level of trust for the user based on information associated with an email address of the user and other information and register the user if the determined level of trust is sufficient. The registered user can request an activation token to be used for provisioning an endpoint device for consent-free out-of-band management. An endpoint device can be provisioned by the user submitting the activation token to the fleet service, the fleet service sending the activation token to the endpoint device, the endpoint device generating an ownership voucher request that includes the activation token, the fleet service verifying and validating the ownership voucher request, the fleet service returning a signed ownership voucher to the endpoint device, and the endpoint device verifying the signed ownership voucher.

An object of a system according to an embodiment is to efficiently manage the contents of an increasing number of operation mails and to clarify tasks to be executed.SOLUTION: A system includes a mail classification part, a summary creation part, and a list creation part. The mail classification unit analyzes all the received mails and classifies the contents thereof. The summary creation part summarizes the contents of each mail classified by the mail classification part. The list creation unit creates a list of items to be executed based on the contents summarized by the summary creation unit.SELECTED DRAWING: Figure 1

Methods, systems, and computer storage media for providing a cross-domain secure authentication engine in an item listing system are described. The cross-domain secure authentication engine is an advanced, modular system designed to handle user authentication seamlessly across different service domains, while ensuring security features and an adaptive user experience. In an item listing system, the cross-domain secure authentication engine operates based on a security-focused framework that streamlines user authentication across multiple domains without sacrificing user experience. It integrates a modal containing an iframe-based sign-in interface associated with a separate authentication domain and employs a postMessage API for cross-origin communication. Key features include dynamic modal resizing—adjusting the sign-in window to different authentication steps (like email, password, or OTP)—and parameterized iframes that remove unnecessary UI elements for a cleaner user experience. The cross-domain secure authentication engine also supports security measures and supports incremental, multi-step authentication flows to reduce user friction.

An approach for improving computer security using machine learning and DNS-based monitoring. A server receives requests associated with multiple entities, including at least customers and vendors, and maintains historical behavior data comprising prior requests, corresponding outcomes, and DNS record information for associated domains. A machine learning algorithm determines a range of predictable requests for a given entity based on the historical behavior data and compares new requests to this range to detect anomalies or behavior inconsistent with past activity. When an anomaly is detected, the server causes one or more confirmation messages to be sent, for example via email, SMS, social media messaging, instant messaging, or application notifications, before authorizing a secure operation.

The present disclosure provides systems and methods for synchronizing email accounts across different email clients. Permission is obtained from a user to access a first email account and a second email account, where the first and second email accounts are accessible via different email clients. Existing emails are uploaded from the second email account to the first email account and indications of changes in resources associated with the email accounts are received and replicated across accounts to maintain synchronization. Additionally, API usage is managed by determining an API quota count and pending API usage count and queueing the replication of changes between email accounts until API quota limits will not be exceeded. Furthermore, search queries received when the accounts are not synchronized are translated into a format compatible with an API of the second email client. The second email client is queried and a response to the translated search query is received and displayed.

This invention provides an email distribution device that can prevent an increase in the mental burden on employees by classifying customer emails based on the customer's emotions and distributing them appropriately to employees. [Solution] The email distribution device 1 comprises a model generation unit 4, an emotion analysis unit 7, and a distribution unit 9. The model generation unit 4 uses specific characters extracted from the content of customer emails as input data and generates a model by machine learning from training data, which is output data of the emotion analysis results corresponding to the specific characters. The emotion analysis unit 7 extracts specific characters from the content of customer emails newly sent from customer terminals 50 as estimation input data and outputs analysis results corresponding to the estimation input data based on the model. The distribution unit 9 distributes customer emails to one of the multiple employees based on the analysis results output by the emotion analysis unit 7 and the employee information of multiple employees.