16 results about "Policy Compliance" patented technology

The invention discloses a double-engine government affair question and answer method based on large model fine tuning and RAG retrieval, belongs to the field of government affair digitization and natural language processing, and combines large model language understanding generation ability, retrieval enhancement generation technology and a structured reasoning mode. The defects of a traditional government affair question and answer method in the aspects of dynamic policy response, complex semantic understanding and compliance control are overcome. Government affair field knowledge is adapted through large-model fine adjustment, and high-precision and timeliness answering of government affair consultation is realized in combination with vector retrieval and a dynamic updating mechanism. The core innovation of the method lies in deep fusion of a double-engine architecture and dynamic knowledge management, the accuracy and response efficiency of government affair questions and answers are improved on the premise of ensuring policy compliance, and the method is suitable for intelligent upgrading of scenes such as government affair service halls and online consultation platforms.

The invention discloses a government affair data processing method, system and device and a storage medium, and relates to the field of intelligent government affair decision, and the method comprises the steps: generating a tamper-proof block chain evidence storage triple through a multi-chain collaborative evidence storage mechanism based on a structured policy vector and government affair data; performing real-time decision matching by adopting a cosine similarity algorithm according to the block chain evidence storage triad, calculating a similarity value of the government affair item state vector and the structured policy vector, and generating a decision execution record when the similarity value reaches a policy compliance reference requirement; based on the decision execution record, starting a multi-chain collaborative auditing mechanism, identifying and positioning illegal operation nodes and generating an auditing report; according to the audit report, the audit data and the policy efficacy weight are optimized through a policy analysis engine, and a government affair data optimization proposal is generated; the policy knowledge graph is constructed by fusing the aging characteristics and the regional parameters through a dynamic quantization algorithm, and the structured policy vector is generated, so that the efficacy evaluation deviation of a static model is effectively solved.

An architecture for parallel execution of two separate generative output requests (1) a compliance request and (2) a feature request. The compliance request prompts a generative output engine to review context provided in respect of the feature request for adherence to specified policies and returns a Boolean value embedded within a specified structured format indicating compliance or noncompliance. Both requests are executed simultaneously, with the feature request response buffered until compliance is verified. If noncompliance is detected, the feature request response is discarded, and the user is notified. Alternatively, if compliance is detected, the feature request response is provided as output to the user.

The present disclosure provides a document review and approval system comprising a user interface with a source selector, an objective definer, and a corpus selector for receiving source documents, user-defined objectives, and policy documents, respectively. An artificial intelligence engine processes the received inputs. Output interfaces include a syntax auditor for identifying and facilitating correction of syntax errors, a policy auditor for identifying non-compliance issues with policies, and a reporter for generating reports based on findings. The system enables efficient review and approval of documents for both syntax and policy compliance, utilizing artificial intelligence to process natural language inputs and generate outputs, including explanations for identified issues and natural language summaries in generated reports.

An automated system (100) for optimizing the user lifecycle and licenses for issue tracking tools, the system comprising: a user lifecycle management module configured to onboard, modify, and de-onboard users through integration with human resource management systems, identity management platforms, and issue tracking tool APIs; a license usage analysis module configured to monitor and record user activities and feature usage in real time; an automated license assignment and revocation module configured to dynamically assign, revoke, and reassign licenses based on usage patterns and predefined policies; a policy compliance and access control module configured to enforce the company's governance rules and regulatory requirements; an integration and API management module configured to securely exchange user and license data between connected platforms; a reporting and dashboard module configured to display real-time analytics, historical trends, and compliance reports; and an AI-driven forecasting and optimization module configured to predict license requirements, recommend cost optimization strategies, and detect anomalies, The system operates in real time to ensure efficient license usage, minimize costs, maintain compliance, and prevent unauthorized access.

Architectures and techniques are described that can implement or rely upon multiple different sources of truth (SOT) repositories, each of which can comprise authoritative versions of codebase, configurations, or other artifacts for different environments of an orchestration platform. For example, a first SOT repository can be utilized for a staging environment of the orchestration platform, while a second SOT repository, which differs from the first SOT repository, can be utilized for a production environment of the orchestration platform. Moreover, the disclosed techniques can tie a formal review process to a deployment process for a software development project, e.g., by enforcing certain deployment constraints.

The invention discloses a policy compliance method with dynamic anti-fragility capability, which integrates a policy monitoring system, an analysis engine, a policy generator, a sand table, a compliance system, a report generator and a management system, and uses multi-modal data fusion, a deep learning model and an automatic process to realize dynamic anti-fragility policy compliance. Accurate detection, comprehensive active defense and closed-loop optimization of policies are realized, and the efficiency and accuracy of policy compliance management are greatly improved.

1. Name of the Design Product: Graphical User Interface for Querying Policy Compliance Detection of Electronic Devices. 2. Use of the Design Product: Used to detect whether a product complies with policy regulations on an electronic device. 3. Design Key Points of the Design Product: Lies in the graphical user interface. 4. Picture or Photograph that Best Illustrates the Design Key Points: Variant State Diagram 1. 5. Use of the Graphical User Interface: Used to retrieve and compare product information and detect whether the product complies with relevant policy regulations. 6. Other Situations Requiring Explanation - Reference Diagram Explanation: The front view is used to display policy update information. By sliding the scroll bar on the right side of the front view, the policy update information can be scrolled for viewing. By clicking the close button in the upper right corner of the front view, it can jump to Variant State Diagram 1; Variant State Diagram 1 is used to input product information to be detected. By clicking the picture upload area on the left, a product picture can be uploaded. By clicking the text input area on the right, a product description can be entered and the country and platform for product listing can be selected. Subsequently, by clicking the start retrieval button on the right, it can jump to Variant State Diagram 2; Variant State Diagram 2 is used to display the picture retrieval and comparison information of the product. By checking the proofreading result option on the left and then clicking the view detection result button on the right, it can jump to Variant State Diagram 3; Variant State Diagram 3 is used to detect whether the product complies with the policy regulations of relevant countries and platforms and provides relevant policy information. By clicking the policy compliance retrieval button on the left, it can jump back to the front view.

A procedure involves generating a modeling language diagram that specifies a compiled version of program code. The modeling language diagram includes at least one node corresponding to at least one function in the program code. The procedure also involves identifying at least one function signature associated with a node state transition between nodes in the modeling language diagram. Furthermore, the procedure involves identifying a specific policy to be associated with the at least one function signature associated with the node state transition, using a large language model. The procedure further involves performing a policy compliance operation using the large language model, which ensures that a specific section of program code conforms to the specific policy. The specific section of program code is associated with the node state transition.Performing the policy compliance process involves generating a policy-compliant version of the specified section of the program code.

A document review system that displays a workflow builder interface comprising a block library and a workflow canvas. The system receives user selection of workflow blocks including rule execution blocks, conditional logic blocks, and output blocks, enables positioning of the blocks on the canvas, and receives user-defined connections between blocks. The system receives natural language rule definitions through prompt fields and document selections through context selectors, processes the rule definitions using an artificial intelligence engine to generate executable operations, receives conditional expressions for workflow branching logic, configures output parameters, and executes workflows defined by the positioned blocks and connections.

This invention discloses a government service analysis and management system, belonging to the field of government service management technology. The system includes a user profile construction module, a demand prediction and proactive service module, a data control and permission adaptation module, a process monitoring and root cause tracing module, a policy compliance supervision module, an inclusive service adaptation module, and a central dispatch module. This system improves upon the limitations of existing government service systems' passive service architecture, which is centered on pre-set items, by constructing a user lifecycle profile and a causal inference logic chain for government service needs. It can accurately uncover the inherent causal relationship between user characteristics and government service items, effectively eliminating the interference of pseudo-correlation features on demand prediction, achieving accurate prediction and compliance verification of users' potential service needs. This realizes the transformation of government services from an item-driven "people looking for services" to a demand-driven "services finding people" model, reducing the time and communication costs for the public from the source and improving the government service experience.

The present invention provides a computer-implemented system and method for automated remuneration based on individual contributions to organizational key performance indicators (KPIs). The system includes a data collection module that aggregates KPI data from multiple sources; an attribution engine that evaluates individual impact using configurable attribution models; and a Negative Improvement (NI) Balancing mechanism that adjusts attribution scores by accounting for trade-offs, degradations, and zero-sum effects across KPIs. A reward calculation module converts net attribution scores into financial rewards while enforcing budget constraints, and a smart-contract distribution layer executes reward payments through a two-gate validation process ensuring data integrity, policy compliance, and auditability. The system further includes baseline-to-delta tracking, privacy safeguards, cross-organizational data-exchange capabilities, economic modeling, user dashboards, and integrated audit trails. These elements collectively create a transparent, data-driven remuneration infrastructure that aligns individual actions with organizational outcomes and ensures fair, real-time compensation for measurable contributions.

The application discloses a privacy policy compliance processing method and device, electronic equipment, storage medium and program product. The method comprises the following steps: constructing a multi-dimensional constraint mode in advance based on laws and regulations and industry standards; in response to receiving a to-be-detected privacy policy text, structured semantic information is extracted from the text by using a large language model and according to the multi-dimensional constraint mode; at least one consistency detection is performed based on the structured semantic information, the consistency detection comprising semantic similarity detection for determining whether the minimum necessary principle is met and cross-chapter logic conflict detection for identifying semantic contradictions; and for the identified non-compliant items, a large language model is driven to generate a repair text in combination with context content and corresponding compliance judgment conditions. The application realizes full-process automation of privacy policy text from detection to repair by converting abstract legal requirements into computable constraints and combining the deep semantic understanding ability of the large language model, thereby improving the efficiency and accuracy of compliance management.

A vehicle includes a compliance security module (CSM) configured to ensure that the vehicle is capable of functioning in accordance with one or more policies. The CSM can be configured to obtain the one or more policies, authenticate the one or more policies, monitor the components of the vehicle and / or inform policy-related components of the vehicle of the one or more policies. The CSM can be configured to validate that the vehicle will comply with one or more policies, for example, by generating and transmitting a compliance certificate to an enforcing authority.

The present invention discloses a government data processing method, system, device and storage medium, which relate to the field of intelligent government decision-making, including: based on structured policy vectors and government data, generating tamper-proof blockchain evidence triples through a multi-chain collaborative evidence mechanism; based on the blockchain evidence triples, using a cosine similarity algorithm to perform real-time decision matching, calculating the similarity value between the government matter state vector and the structured policy vector, and generating a decision execution record when the similarity value reaches the policy compliance benchmark requirement; based on the decision execution record, starting a multi-chain collaborative audit mechanism, identifying and locating illegal operation nodes and generating an audit report; based on the audit report, optimizing audit data and policy effectiveness weights through a policy analysis engine, and generating a government data optimization proposal; by using a dynamic quantization algorithm to fuse timeliness characteristics and regional parameters to construct a policy knowledge graph and generate a structured policy vector, effectively solving the effectiveness evaluation deviation of the static model.

This invention discloses a method and system for semantic compliance review and risk tracing of network configuration changes based on a large-scale model. By constructing a policy compliance knowledge graph of the communication bearer network, business intent, policy rules, and compliance constraints are structurally represented. Natural language service change requests are received and parsed into structured business intent using a large-scale language model. Based on retrieval-enhanced generation technology, a policy context subgraph is retrieved from the knowledge graph and input into the large-scale language model for logical compliance reasoning, yielding compliance judgment results and policy rules. This results in the construction of a decision tracing evidence chain containing the original request, parsed intent, reasoning basis, and violation rules. Pre-decision decisions are executed based on the judgment results; if violations are found, the process is blocked and the evidence chain is output. This invention elevates configuration change review from network performance verification to the semantic compliance understanding level, enabling proactive risk prevention and white-box decision-making, significantly improving the security and auditability of communication network operation and maintenance.