10 results about "Policy Compliance" patented technology

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.

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.

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.

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.