484 results about "User role" patented technology

The invention discloses a human resource management method and system based on data security. The method comprises the steps that multi-source human resource data are collected through a standardized interface, and sensitive levels are marked in a classified mode; calling a dynamic encryption engine based on the sensitive level and the data type, performing asymmetric encryption on the structured data, and performing hybrid encryption on the unstructured data; a dynamic hierarchical access control strategy is generated in combination with user roles and service scenes, and the permission range is adjusted in real time; laws and regulations such as GDPR and CCPA are analyzed through a compliance rule base, data operation legality is automatically verified, and illegal behaviors are blocked; k-anonymity and differential privacy technologies are adopted to desensitize sensitive data, and privacy protection and data availability balance are ensured; and recording a full-process operation log based on the block chain and generating a non-tampering audit report. The system comprises a data classification acquisition module, a dynamic encryption engine module, an access control engine module and the like. According to the method, the problems of data protection rigidness, compliance response lag and privacy-utility imbalance of a traditional HR system are solved.

The invention relates to the cross technical field of business intelligence and natural language processing, in particular to an interactive AI report generation method and system based on intelligent semantic driving, and the method comprises the steps: (1) a large language model analyzes user question semantics, calculates the matching degree with a report subject, and dynamically selects a question correction or report generation process; (2) the fuzzy query is converted into a deterministic request based on the domain knowledge base, and semantic ambiguity is eliminated; (3) analyzing field association in combination with database metadata, and generating an executable SQL (Structured Query Language); (4) dynamically rewriting SQL (Structured Query Language) according to user roles, adding permission filtering conditions, executing query and desensitizing sensitive data; (5) analyzing result features, automatically matching a visual form and generating natural language interpretation; and (6) collecting user feedback, and optimizing a semantic model and a query strategy. According to the scheme, the accuracy of natural language query and the adaptive capacity of the system can be remarkably improved, and the security of data access is guaranteed.

The invention belongs to the technical field of computers, and particularly relates to an information integration management method and system supporting real-time updating, and the method comprises the steps: accessing a heterogeneous data source through a distributed gateway, carrying out the adaptive analysis of a protocol, and standardizing a structure; adding a millisecond timestamp and a unique identifier, and generating a semantic data cluster through streaming engine sliding window association analysis; after multi-dimensional consistency verification is executed, writing and storing are carried out by adopting a double-buffering and snapshot isolation mechanism; and dynamically assembling the customized view according to the user role and the context and safely returning the customized view. The system correspondingly comprises a protocol analysis module, a time sequence marking module, a streaming association module, a semantic verification module, a double-buffer control module, an index updating module, a view assembling module and a secure transmission module. According to the invention, millisecond-level real-time convergence, conflict-free fusion and on-demand view output are realized, and the data access flexibility, the quality guarantee capability and the service adaptation flexibility are comprehensively improved.

The invention discloses an intelligent traffic data analysis and decision generation system based on multi-model dynamic collaboration, and the system comprises a multi-mode collection module which collects voice, text, video and structured data and loads a traffic knowledge graph; the feature processing module is used for extracting semantic, time sequence and spatial features and generating a fusion vector; the semantic modeling module is used for generating an intention vector in combination with the knowledge graph and the interaction record; the dynamic routing module selects an edge or cloud model according to the intention vector to generate a query statement; the Prompt memory module fuses the historical template and the alignment parameters to generate a query draft; the query verification module is used for executing semantic and structure verification and outputting a correction statement; the query execution module generates a response vector; the causal interpretation module generates an interpretation vector; and the response generation module outputs a multi-granularity result according to the user role. According to the method, the cooperative processing capability and semantic analysis precision of complex traffic query are improved.

The invention discloses an intelligent access API generation method, system and device and a medium, and the method specifically comprises the steps: generating a dynamic dragging interface based on user role information, and obtaining function access parameters customized by a user through the dynamic dragging interface; according to semantic features and operation sequences in historical user interaction data, user intentions are analyzed, and target data topic logic is generated in combination with function access parameters; converting the subject logic of the target data into an executable query statement by utilizing an SQL splicing tool, and recommending an index optimization scheme to a database engine based on a high-frequency condition and field combination in a historical query mode; and distributing the optimized executable query statements to Serverless workflow nodes adapted to different query engines for execution, and packaging returned data into a standardized API (Application Program Interface) for output. According to the method and the device, full-process automation from parameter customization by a user to standardized API output is realized, and the efficiency and the flexibility of data acquisition are remarkably improved.

The invention belongs to the technical field of data desensitization, and provides a database sensitive data desensitization and backtracking control method and system.According to the technical scheme, text samples are constructed according to obtained database field content, sensitive entities in the text samples are recognized, and the sensitive entities are classified and marked; determining a field position and a sensitivity level of the sensitive entity; determining a desensitization strategy by combining three-dimensional information of a field type, use scene information and user role information on the basis of the determined field position and sensitive level of the sensitive entity; and responding to an operation request of a user, matching a corresponding desensitization strategy and an execution strategy based on the operation request of the user, writing a strategy execution record into an audit log, performing data use track backtracking and anomaly detection according to the audit log, and obtaining a corresponding disposal strategy according to an anomaly detection result. The data security governance capability can be remarkably improved, and the requirement of supervision on data compliance use is met.

Techniques described herein can generate customized, user-based security response recommendations for users of security system(s), such as for security analysts tasked with performing responses to computing security threats. A user-based response recommendation engine can generate the user-based security response recommendations based on incident data associated with security incidents and based on historical user response data. Furthermore, user role inference techniques can optionally be used in conjunction with the user-based response recommendation engine.

The invention provides a multi-level dynamic data access control method and device based on a credential environment, and the method comprises the steps: obtaining a data access request initiated by a user and associated environment state information, carrying out the multi-factor authentication processing of a user identity, and combining the pre-stored user role attribute information and responsibility division data, thereby achieving the multi-level dynamic data access control. Generating an initial permission set of the user for the data resource identifier; extracting historical access behavior records of the user in the credential environment to generate historical access behavior characteristics, extracting real-time state characteristics in combination with the environment state information, performing association analysis on the historical access behavior characteristics and the real-time state characteristics, and generating a risk assessment result of the user access behavior; and adjusting access permission configuration of the user to the data resource identifier, generating a permission control instruction, and executing permission control operation of accessing the data resource identifier by the user. According to the method, the accuracy, the dynamic adaptability, the safety and the reliability of data access control in the credential environment are improved.

A store employee assistance platform is provided that is enabled with generative artificial intelligence to deliver role-specific, context-aware responses to natural language questions submitted by users, including store employees. The platform includes a store employee assistance application with a chat interface through which a user may submit a question. The platform identifies the user's role, store location, and access level, and retrieves relevant enterprise content from a vector database and historical data store. A prompt engine constructs a contextualized prompt incorporating the user's identity and the retrieved information, and submits the prompt to one or more generative AI models. The resulting response is tailored to the user's responsibilities and delivered through the chat interface, providing real-time operational guidance specific to the user's role within the retail environment.

The invention discloses an enterprise information visual management system and method based on data sharing, and belongs to the technical field of enterprise information management.The method comprises the steps that by connecting business systems in an enterprise, user behavior data and business data are collected and preprocessed, and an internal data set is constructed; acquiring data from an external data source, and constructing an external data set through semantic analysis, screening and classification; internal and external data are integrated, a dynamic cleaning rule is formulated, multi-source fusion is realized through data association, data are stored in a classified manner according to business requirements, and a data warehouse with a layered architecture is constructed; meanwhile, a personalized data mart is generated based on user roles and permissions, user demands are automatically predicted, and analysis indexes and dimensions are pre-generated; and finally, constructing a visual analysis platform, generating a preliminary recommendation scheme in combination with the pre-generated content and the user operation track, fusing user-defined setting, and outputting a final visual result in real time, thereby realizing efficient management and visual presentation of enterprise information.

As cybersecurity alerts are detected and logged as formatted descriptors across an organization, a text converter converts the formatted descriptors into natural language descriptors by extracting and inserting metadata fields into natural language templates corresponding to user personas for the organization. In response to an alert-based query from a user, a persona classifier predicts a persona of the user from historical chat logs and retrieves natural language descriptors for alerts related to the user and predicted persona. A prompt generator receives the retrieved natural language descriptors and generates a prompt that instructs a large language model (LLM) to respond to the user with data from the natural language descriptors. Once prompted, the LLM establishes a conversation with the user via an interface for alert resolution.

The invention relates to a multi-level data security grading authentication and user access permission dynamic matching method, and belongs to the technical field of data management. The method comprises the following steps: presetting a sensitive data risk level, and performing hierarchical authentication on accessible data in a system according to the sensitive data risk level to obtain a security risk level based on access data; defining user roles according to an organization structure and business requirements of a system use object, allocating an initial data access permission to each user role, and dynamically adjusting the data access permission of the user roles by monitoring a behavior mode and a data access history of the user roles; the user roles are matched with the identification vectors of the security risk levels through the built-in permission vectors when accessing the system data, and corresponding data access permissions are distributed to the corresponding user roles after matching succeeds. And fine management of data security and dynamic optimization of user access authority are realized.

The invention discloses a dynamic split mirror generation system and method based on a controllable diffusion model, and belongs to the technical field of film and television production. The implementation method comprises the following steps of: 1, setting a keyword text by a user, and inputting the keyword text into ChatGPT to generate a script; 2, converting the script into a scene category, a camera motion mode, a character role position and action and image description in a shot language by utilizing ChatGPT; 3, using a CLIP model to carry out contrast training on the image encoder and the text encoder; 4, performing an OpenPose model on the action reference image to obtain skeleton key points of the character role, and converting the skeleton key points into image character actions; 5, performing action fine-grained control on the character action of the image by using a Stable Diffusion model and a ControlNet model, and generating a split image; 6, utilizing a Pika Labs model to generate a dynamic video from the split image; compared with the prior art, the accuracy of user role action matching under the scene based on multi-text and high-complexity actions is improved.

The invention relates to the technical field of data security, and particularly discloses a real-time data desensitization method and system based on context awareness, and the method comprises the steps: intercepting an HTTP / HTTPS request through a gateway, and extracting a user authentication token, URL parameters, an IP address, a timestamp and request body data in a request header; analyzing user role information based on the user authentication token, extracting access environment characteristics based on an IP address and a timestamp, and performing sensitive field identification and grading on request volume data to determine a data sensitive level; according to the user role information, the access environment characteristics and the data sensitivity level, matching a predefined desensitization strategy template through a rule engine, and generating a real-time desensitization strategy containing a field-level desensitization instruction; verifying the access authority based on the user authentication token, and dynamically adjusting the desensitization degree in combination with the access environment characteristics; and according to the real-time desensitization strategy and the desensitization strength, performing real-time desensitization processing on the sensitive fields in the corresponding data.

The invention relates to an operation guiding method based on user behavior analysis. The method comprises the following steps: analyzing to obtain a user operation purpose, and classifying and recording the user operation purpose as an operation guiding template; obtaining an interface coordinate of the interaction element in the current presentation interface based on the identification number; obtaining an operation purpose of a currently logged-in user, and searching and presenting personalized operation guidance; carrying out user behavior and related data collection on the currently logged-in user; key indexes of the user completing the operation are counted, and evaluation and suggestions of the user on operation guidance are recorded. According to the method, the user operation purpose is determined through multi-dimensional analysis, the operation guide template is constructed, and highly personalized operation guide is provided for the current login user; establishing a dynamic updating mechanism of unique identification numbers and interface coordinates of the key interaction elements, and ensuring the accuracy and stability of guiding; the adaptive templates are screened according to user roles, permissions and operation environments, proper guidance and prompts are provided for users with different proficiency degrees, and the operation efficiency of the users is improved.

The invention discloses a dynamic form generation and cross-database adaptation method based on metadata driving, and belongs to the technical field of data architectures. The method comprises the steps that an original metadata attribute graph is established; on the basis of the original metadata attribute graph and user roles and equipment parameters for calling the forms, generating an optimal equipment form interaction data graph corresponding to each user permission; verifying an interaction path between the forms and a cross-database demand of a target database type to carry out cross-database mapping adaptation analysis, and generating an optimal form data adaptation database of the corresponding equipment of each user permission; and performing rule compiling based on multi-source heterogeneous data input by a user in real time and execution logic in the original metadata attribute graph, marking an incremental propagation path in the optimal form interaction data graph of the corresponding equipment of each user permission, and updating the optimal form data adaptation database of the corresponding equipment of each user permission. The method has the advantages that the data interaction efficiency is improved, and the interaction round-trip times and redundant data transmission are reduced.

The invention relates to the technical field of computers, and discloses a user role and authority management method, system and device and a storage medium, and the method comprises the steps: accessing multi-source data, carrying out the preprocessing, and constructing a context snapshot; receiving request information, and analyzing a user intention; based on the context snapshot and the request context, reasoning, dynamic role affiliation judgment, authority demand assessment, risk assessment and decision suggestion output are carried out through a large model; the decision suggestion is converted into an executable technical instruction so as to dynamically adjust the user permission, the technical instruction comprises application program interface calling, configuration changing or strategy rule updating, and user permission adjusting comprises role distribution and permission granting or revocation; and in response to an execution result of the received technical instruction, a user behavior and an audit log, analyzing a decision effect, identifying a decision deviation, and optimizing the large model through a feedback learning mechanism. According to the invention, the flexibility, safety and efficiency of authority management can be improved.

A system (100) for multi-channel purchase authorization with dynamic role validation, comprising: (a) a multi-channel request capture module configured to receive and standardise purchase requests initiated through a variety of communication channels, including corporate portals, mobile applications, emails and messaging platforms; (b) a role identification and contextual mapping module configured to dynamically retrieve user roles and contextual information based on real-time access management data and organizational hierarchy; c) a policy and rules module configured to evaluate purchase requests based on pre-configured and context-sensitive authorization policies, thresholds and compliance rules; (d) a dynamic role validation and escalation module configured to validate whether the requester has the authority to initiate or authorise a transaction and, if not, to automatically escalate the request to an appropriate authorised role; (e) an authorization workflow orchestration module configured to sequence approval steps, apply business logic, manage parallel or sequential workflows, and interface with external procurement systems; f) and an audit, logging and analytics module configured to record all request, validation and authorization actions in a tamper-proof log and generate real-time insights and compliance metrics, g) where the system enables real-time, role-based purchasing authorization across multiple channels with dynamic policy enforcement and escalation handling.

Systems and methods of the present disclosure may receive, from a user computing device, a user-provided data record query including a natural language request for information associated with one or more data sources. User persona attributes of the user may be determined, such as a user role or security parameters or both. Based on the user persona attributes a context query may be generated to obtain context attributes associated with the user-provided query. The natural language request and the context attributes are input into the model orchestration large language model (LLM) to output instructions to machine learning (ML) agents based on the context attributes. The ML agents output responses associated with the user-provided data record query based on the instructions, and the responses are input into the model orchestration LLM to output to the user computing device a natural language response based on the context attributes.

The invention provides an API full-life-cycle management method and system based on database management and control. The method comprises the steps that basic information of an API is received through a standardized interface, and the basic information is written into a database after verification is passed; an accessible user role is configured for the registered target API, and the permission association relationship of the target API is written into a database; configuring a read-write attribute, an instance library access rule and a classification permission level of the target API, and writing configuration data into a database; accessing the verified API to a service gateway to open a calling entry; aPI calling data is collected and written into a database, and multi-dimensional analysis is carried out to comprehensively monitor the running state of the API; the system comprises an API registration module, an authority configuration module, an attribute configuration module, an operation monitoring module and a background management module. According to the technical scheme, authority control, attribute configuration and link monitoring are integrated through the centralized database, and the method has important application value.

In various examples, a technique for generating synthetic data includes inputting a first prompt that includes (i) a first portion of content and (ii) a plurality of user personas into a first machine learning model and generating, via the first machine learning model and based on the first prompt, a plurality of points of interest associated with the user personas and the first portion of content. The technique also includes inputting a second prompt that includes mappings between the points of interest and a plurality of question types into a second machine learning model and generating, via the second machine learning model and based on the second prompt, a plurality of questions associated with the user personas and the first portion of content. The technique further includes retrieving a second portion of content based at least on the plurality of questions and a third prompt.

The invention provides a flow and form decoupling cooperative processing method, and relates to the technical field of business flow management, and the method comprises the steps: constructing a layered architecture, separating a flow control layer from a form service layer, defining a flow node jump rule by the flow control layer based on a BPMN standard, and dynamically defining a form structure by the form service layer through JSON Schema; a form identifier is declarated in the process definition file, a corresponding form template is matched through a dynamic mapping service according to context information, and the context information comprises a process instance state, a user role, a device type and a service type; establishing a data sandbox isolation mechanism, generating a unique data space identifier for each process instance, and managing data access authority through a multi-dimensional isolation strategy of a tenant level, a service level and a process instance level; deploying an event bus communication mechanism, triggering two-way communication between a process engine and a form engine through a predefined event type, and ensuring the consistency of cross-system operation by adopting a transaction compensation mechanism.

The invention relates to the technical field of intelligent information processing, in particular to an intelligent dynamic construction method and system for a local user portrait, and the method comprises the steps: analyzing a user terminal file, and extracting a static structure feature, a use behavior feature and a content semantic feature; performing fusion processing on the static structure feature, the use behavior feature and the content semantic feature to generate a comprehensive feature vector; performing mapping matching on the comprehensive feature vector and a pre-established domain knowledge graph, and identifying the working domain and professional attributes of the user; user role features and behavior patterns are analyzed based on a feature vector clustering algorithm, and a multi-level user portrait model is generated; and carrying out dynamic evolution updating on the user portrait model by adopting a time sequence weight attenuation algorithm. According to the method and the system, the deep semantic analysis is combined with the knowledge graph, so that the accuracy and the professional depth of the user portrait are improved, and the absolute privacy and the safety of the user data are effectively guaranteed.

The invention relates to an engineering construction stage user multi-dimensional demand analysis system and method, and the system comprises a multi-modal semantic model construction module which integrates a multi-source knowledge base, and extracts triple description statements from the provisions of the multi-source knowledge base to construct an engineering object ontology knowledge graph; the demand structured guidance and intelligent analysis engine module dynamically identifies an engineering stage and a user role, guides a user to perform text demand input, and performs semantic completion and standardization processing; the demand conflict detection and coordination correction module is used for detecting conflicts in user demands and generating a conflict influence analysis report and a coordination processing scheme; the intelligent drawing and dynamic optimization module is used for automatically drawing according to the triple obtained through demand analysis; and the demand analysis visualization and flow closed-loop module is used for generating an executable parameterized demand document and an association chart, and completing demand-design-verification engineering closed-loop management, so that intelligent analysis and standardization of user multi-dimensional demands are realized, and the system has the advantages of high efficiency, accuracy and intelligence.

Embodiments described herein related to systems and methods for generating comments in a page of a content collaboration platform. In some examples, the user interface of the platform is configured to display a page within a content region. The content region includes a comment control that, upon user selection, causes a prompt to be generated and submitted to a generative output engine via an Application Programming Interface (API). The prompt may include a portion of the content selected by a user and user-specific data, such as a user role. This data is used as context to the prompt alongside a predefined query. The output from the generative output engine may be used to generate a set of suggested comments, which are displayed in a comment interface within the content region of the content collaboration panel.

The present disclosure provides a method of facilitating a consensus-driven discussion. Further, the method may include receiving, using a communication device, a discussion data. Further, the discussion data corresponds to a topic of a discussion.Further, the method may include receiving, using the communication device, two or more user role data. Further, the method may include obtaining, using a processing device, a resource data based on the discussion data. Further, the method may include determining, using the processing device, a service data based on the discussion data. Further, the method may include generating, using the processing device, a network data based on each of the two or more user data, the resource data, and the service data. Further, the network data corresponds to a hierarchical network aggregating each of the two or more users, the resource and the service and representing a hierarchical significance of the two or more users.

The invention relates to the technical field of network security, and discloses a data desensitization and access control method based on data consanguinity and sensitivity identification, which comprises the following steps of: constructing a data consanguinity graph for describing derivation, circulation and dependency relationships among fields; identifying a sensitivity level of each field based on a field consanguinity context provided by the graph; in response to a data access request of a user, dynamically generating an access control strategy for the target field in combination with a service scene, a user role and the sensitivity level of the target field, the strategy specifying access permission, access denial or access after desensitization; and executing the strategy through a data interceptor deployed in a data access key layer, releasing and shielding the data or outputting the data after real-time desensitization by calling a specified algorithm. According to the invention, accurate identification and dynamic and consistent fine-grained access control of the sensitivity of the network data are realized, and the security protection capability of the network data is improved.

The invention provides a micro-service system interface authority management and authentication method and a related device, and belongs to the technical field of software engineering. According to the method, a micro-service plug-in is deployed at each micro-service node, the micro-service plug-in automatically collects interface information of a micro-service system and permission description information corresponding to the interface information, and the interface information of the micro-service system and the permission description information corresponding to the interface information are synchronized to all API gateway nodes through a Nacos configuration management center; starting a role permission configuration server, performing unified management on interface permission information, user role information and permission configuration information of the micro-service system in the role permission configuration server, and performing unified distribution on users, roles and permissions; and starting the single-point authentication server, and verifying the user identity in the single-point authentication server. According to the invention, the problem of low integration efficiency of the micro-service system is solved.

A method is disclosed for managing access in a telecommunications network by utilizing a resource classification layer. The method involves receiving a request at a resource classification layer from a sender to obtain an access token for a receiver service. The sender is associated with a user role that has specific permissions and access rights corresponding to a data sensitivity threshold. The request includes a data payload. A classification value for the data payload is assigned using one or more resource classification models, which are trained on a log of past data payloads. A data sensitivity score is generated by comparing the classification value to a scale of classification values. The method then indicates whether the access token can be granted to the sender by comparing the data sensitivity score against the data sensitivity threshold to verify authorization.

This disclosure relates to method and system for generating user role-specific responses through Large Language Models (LLMs). The method includes receiving a user query from a user account. The user account is associated with a user role from a plurality of user roles. The method includes combining, based on the user role, the user query with contextual information corresponding to the user query to obtain a combined query. The method includes inputting the combined query to an LLM. The method includes generating a user role-specific response corresponding to the combined query through the LLM. The method includes rendering the user role-specific response to a display of a user device associated with the user account.