85 results about "Enforcement" patented technology

The Trust-Informed Engagement and Restraint (TIER) system is a modular behavioral governance architecture for conversational AI that enables dynamic, real-time enforcement of trust-aligned interaction policies. The system comprises a Behavioral Governance Framework defining policy rules and an Enforcement Wrapper hosting Core Modules that operate externally to the AI model. These modules regulate behavioral traits including trust calibration, emotional tone, conversational containment, authority modulation, and cross-modal consistency. TIER continuously monitors interaction metrics and applies policy-driven constraints during live sessions without requiring model retraining or internal access. Unlike static filters or post-hoc moderation systems, TIER provides proactive, session-aware behavioral governance with auditable enforcement across domains. The architecture supports model-agnostic deployment in regulated and sensitive environments such as healthcare, finance, legal services, and intelligent assistance platforms.

This invention presents a comprehensive platform designed for the generation, management, and execution of intercompany agreements through an automated, blockchain-based system. It employs AI and NLP technologies to assist in drafting customized agreements, taking into account international laws and corporate policies. The platform converts these agreements into immutable, transparent smart contracts deployed on a blockchain network, serving as a single source of truth. It ensures real-time compliance, automatic enforcement, and efficient dispute resolution by continuously monitoring contract performance. This integration streamlines financial processes, enhances regulatory compliance, and increases operational efficiency in managing complex intercompany relationships.

There are provided systems and methods for a domain-knowledge guided agent framework for automated system analysis. An online transaction processor or other service provider may provide computing services and platforms to entities, which may require compliance enforcement for different policies, regulations, and the like. To provide compliance review, investigations, and enforcement in a computing system of a service provider, the service provider may implement an intelligent and automated agent and framework that may utilize different large language models for processing compliance investigation requests and queries. The agent may utilize the models to plan and execute tasks using an available toolkit of computing operations and capabilities for compliance investigation. A data guard module may also be used to ensure data privacy and security is maintained. Within a main task, sub-tasks may be executed by models with specific domain knowledge.

A method includes identifying the compliance standard based on a regulatory compliance monitoring and enforcement program report. The method includes comparing evidentiary request packages to substantiate the compliance standard from a plurality of regulatory authorities. An evidentiary package defines status indicators of parameters for the regulated entity to meet the compliance standard including a first evidentiary package and a second evidentiary package. The method includes generating an inclusive evidentiary package based on the comparison. The method includes generating an evidentiary submittal package for a first regulatory authority based on the inclusive evidentiary package. The method includes selecting an asset of the regulated entity based on the evidentiary submittal package. The method includes receiving operational data associated with the asset based on the evidentiary submittal package. The method includes applying a compliance result to the compliance standard based on an analysis of the operational data.

The invention provides an enforcement notarization whole-process online method and system based on artificial intelligence, and belongs to the technical field of enforcement notarization. Comprising the steps of performing joint verification on user verification data based on a multi-modal biological feature fusion method; extracting key fields of the contract by adopting an NLP semantic analysis method, and performing clause compliance test on the key fields based on a legal knowledge graph and a dynamic rule engine; a contract risk identification algorithm is called to evaluate the repayment capability of the user; an electronic official certificate is generated after contract review is passed, electronic signature is completed based on the dynamic token and the biological characteristics, and real-time chaining and evidence storage are carried out; and monitoring a debt repayment state, and if the debt repayment state is default, automatically generating an execution material and directly submitting the execution material to an interface executor through a forced execution interface. According to the method, on the basis of preventing the data from being tampered, efficient whole-flow online endowment notarization can be realized.

A system for autonomous compliance with legal regulations in smart contracts; the system includes: a regulatory data collection unit comprising a network interface controller physically connected to an external communications port, a hardware-based public key infrastructure circuit configured to validate digital certificates of regulatory servers, and a direct memory access controller configured to transfer authenticated regulatory update packets from the network interface controller to a volatile buffer memory without processor intervention; a Compliance Code Conversion Unit with a hardware lexicon scanner implemented as a finite state machine and embedded in reconfigurable FPGA logic blocks, a microcontroller executing a hardware-based lexical analysis pipeline stored in firmware registers, and a translation cache memory configured to temporarily store tokenized compliance rules before writing them to a non-volatile instruction memory; a policy evaluation and enforcement unit comprising a transaction verification processor connected to a secure enclave memory, a hardware comparator circuit configured to compare transaction parameters with compliance thresholds stored in the secure enclave memory, and a logic gate circuit configured to generate execution gate signals that selectively allow, block, or modify smart contract execution signals transmitted to a blockchain execution processor; and an audit logging unit with a cryptographic hashing circuit configured to generate block hashes of enforcement records, a timestamp oscillator configured to generate temporal signatures of compliance enforcement actions, and a Merkle tree generation circuit configured to create tamper-proof hierarchical hash structures, with the enforcement records being passed to a decentralized storage interface for anchoring in the chain or distributed ledger.

Methods and apparatus for automatically securing communications between a mediation device (MD) and a law enforcement device, such as an agent's terminal, to which intercepted communications, e.g., traffic, is sent are described. Based on a desired intercept request to be implemented, a Lawful Interception (LI) administration (admin) device (LID) identifies at least a first mediation device (MD) which will be involved in implementing the intercept request. The LID then proceeds to enable the use of a private certificate authority to automatically generate and provision the MD and a law enforcement device with certificates and private keys via an automated process. Each of the MD and law enforcement device automatically obtain a security certificate and corresponding private key. The security certificates and corresponding private keys are then used, in an automated manner, to establish a mutual TLS connection between the MD and the law enforcement device.

The Abstract of the Disclosure is provided to allow the reader to quickly identify the nature of the technical disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims. In addition, in the foregoing Detailed Description, it can be seen that various features are grouped together in various examples for the purpose of streamlining the disclosure. This method of disclosure is not to be interpreted as reflecting an intention that any claim requires more features than the claim expressly recites. Rather, as the following claims reflect, inventive subject matter lies in less than all features of a single disclosed example. Thus, the following claims are hereby incorporated into the Detailed Description, with each claim standing on its own as a separately claimed subject matter.

The invention relates to the technical field of data processing. The method for assisting the entry of the administrative law enforcement case document by using the large language model comprises the following steps: carrying out legal constraint embedding processing on an original multi-modal feature based on a preset administrative litigation evidence rule knowledge graph to obtain a multi-modal feature with a legal constraint label; performing legal fact fragment generation processing on the multi-modal features with the legal constraint labels to obtain semantic description fragments with legal attribute labels; performing evidence three-property dynamic verification processing on the semantic description fragment with the legal attribute tag to obtain a verification result with a risk type tag; and performing legal document synthesis processing on the verification result with the risk type mark, and generating a standard case document with the legal risk mark and an independent evidence defect report, so as to improve the integrity of an evidence chain, reduce the omission ratio of program defects and avoid the evidence effectiveness risk of the document.

The invention discloses a judicial cooperation management mechanism and implementation method oriented to enterprise environment conservation motivation and constraint, and the mechanism comprises a multi-source environment conservation data center which is used for collecting and storing enterprise-related environment data from ecological environment departments, courts, procuratorials, public security and other related institutions in a real-time and standardized manner, the data at least comprises enterprise basic information, environment monitoring data, administrative penalty records, judicial referee information, rectification feedback information and a law-of-conservation credit rating. The problems of different evidence formats, information lag and repeated verification in an existing mechanism are solved through a unified evidence transfer rule, block chain evidence storage and a standardized mapping table, the collaboration period is shortened by 40% or above, the judicial credit collection accuracy is improved to 98% or above, and based on a three-dimensional layered label and an intelligent portrait model, the method is simple and convenient to implement. Differentiated excitation and pre-constraint are carried out on enterprises of different industries, scales and historical records, the law-keeping power of small, medium and micro enterprises is enhanced, and meanwhile potential risks are intervened in advance.

The invention relates to a method. Any information (instructions, events, occurrences, invitations, social interactions, histories, relationships, associations, membership, affiliations, hierarchies, rights, privileges, requests, ownership, obligations, responsibilities, contracts, commitments, identities, attributes, statuses, endorsement, qualification, authentication, credentials, etc.) worthy of being recorded for future reference, transactions, verification, calculation, determination, and execution can be made through a law enforcement agency. Electronic communication records sent to block chain operators and guardians (nodes, miners and the like) by supervision organizations and other entities or individuals are recorded into the block chain system. Then, the block chain system can decide whether to approve the transaction, whether to unfreeze the frozen account, how to perform and settle the smart contract, and the like. The external system can also query information such as facts, verification and guidance from the block chain system. According to the method, law enforcement, supervision and social, economic and financial transactions and verification can be performed on the block chain, and the method is not only suitable for an unlicensed block chain system, but also suitable for a licensed block chain system.

A first Radio Access Network (RAN) Intelligent Controller (RIC) (1) receives, in a single message, from a second RIC (3) located between the first RIC (1) and one or more RAN nodes (4), feedback regarding an enforcement status of a plurality of policies, each including one or more policy statements. For example, this can help to reduce the amount of traffic or number of transactions required to provide feedback regarding the enforcement status of a plurality of policies, each including one or more policy statements.

A method includes identifying the compliance standard based on a regulatory compliance monitoring and enforcement program report. The method includes comparing evidentiary request packages to substantiate the compliance standard from a plurality of regulatory authorities. An evidentiary package defines status indicators of parameters for the regulated entity to meet the compliance standard including a first evidentiary package and a second evidentiary package. The method includes generating an inclusive evidentiary package based on the comparison. The method includes generating an evidentiary submittal package for a first regulatory authority based on the inclusive evidentiary package. The method includes selecting an asset of the regulated entity based on the evidentiary submittal package. The method includes receiving operational data associated with the asset based on the evidentiary submittal package. The method includes applying a compliance result to the compliance standard based on an analysis of the operational data.

A hardware-anchored Regulatory Capital Adaptation and Policy Orchestration Engine executes regulatory update ingestion, cryptographic source verification, policy translation, and capital compliance enforcement entirely within trusted execution environments (TEEs) comprising Intel SGX enclaves, AMD SEV-SNP protected VMs, or ARM TrustZone secure worlds, materially altering processor states to isolate all policy and compliance computation. Regulatory updates are cryptographically verified against External Regulatory Authority public keys and translated into executable policy coefficients committed to a TEE-Sealed Policy Store with new TEE attestation reports binding each update to the hardware environment. A Policy Drift Monitor anchored to TEE-resident hardware mechanisms detects unauthorized policy modifications. A Regulatory Compliance Vector is computed using r(lambda, mu, nu, kappa) and evaluated by a non-bypassable Compliance Enforcement Gate prior to transaction authorization. A ZKP Compliance Verification Engine generates Groth16 proofs of approximately 192 bytes verifiable in under 10 milliseconds, each embedding TEE-Sealed Policy Store attestation identifiers enabling regulators to verify both compliance outcomes and the specific regulatory parameter versions that governed them. An Attestation-Bound Provenance Ledger binds all compliance events to TEE attestation reports.

The invention provides a law enforcement document generation method and system based on a large model prompt project. The method comprises the following steps: determining question information according to illegal type information of a case; the question information is responded, a target field is extracted from the responded question information, and the target field comprises illegal information and illegal evidence; tailoring applicable laws and regulations corresponding to the illegal information and the illegal evidence based on a laws and regulation knowledge base to obtain legal document cues, and generating corresponding law enforcement documents according to the legal document cues based on a first large language model; wherein the applicable laws and regulations comprise at least two laws and regulations, and the laws and regulations are sorted according to priorities. According to the method and the system, the efficiency of record investigation, investigation and document making is improved, the accuracy of law enforcement judgment is improved, and then the high-quality law enforcement document is obtained.

The present disclosure is directed to systems and methods for reviewing and analyzing information related to products, services, or industries subject to regulation to check whether the information is in compliance or may be subject to enforcement action. In one embodiment, a computer-implemented method includes training a machine learning (ML) algorithm with a selected set of materials that includes a proprietary portion and a public portion; reviewing at least one material by the ML algorithm trained with the selected set of materials; and outputting at least one result of the reviewing by the ML algorithm.

The invention belongs to the technical field of law enforcement artificial intelligence, and particularly relates to an ecological environment administrative punishment file evaluation method and system. The ecological environment administrative punishment file evaluation system comprises a file library creation module, an intelligent file extraction module, an OCR recognition module and a large model evaluation module. Model training is carried out through field self-adaptive pre-training and evaluation special item fine adjustment, the problem that traditional ecological environment administrative penalty file evaluation completely depends on manual evaluation and is low in efficiency can be solved, file preliminary evaluation is carried out through the OCR technology and a large language model, expert re-checking is combined, and the evaluation efficiency is improved. Therefore, the integrity, timeliness and normalization of the ecological environment administrative punishment file are improved.

1. The name of the design product: law enforcement recorder (ZS3). 2. The use of the design product: used in law enforcement or construction field, through the method of video or audio recording to monitor the whole process. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The invention relates to the technical field of remote interaction, and discloses a remote law enforcement interaction method based on a cloud platform, which comprises the following steps that: the cloud platform firstly constructs an initial communication topology with data flow path constraints according to a terminal communication connection relationship and uploaded data content characteristics, so that data is merged to be constrained by an actual flow relationship instead of a single time sequence; then, according to a historical data transmission track, a topology closed-loop constraint condition is given, pruning is executed, an unestablished path and pseudo concurrency are eliminated, an event starting terminal is automatically identified on the contracted topology, a unified event identifier is generated, cross-terminal records obtain unified affiliation, and then law enforcement data of all terminals are aggregated according to the unified event identifier; and a law enforcement behavior causal chain is reconstructed in combination with the pruned communication topology, so that the recheckable event association and evidence chain integrity can be realized on the premise of not increasing the real-time communication overhead of the terminal and not depending on timestamp sorting.

1. The name of the design product: law enforcement recorder. 2. The use of the design product: video and audio recording for law enforcement process. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The invention discloses a power law enforcement feedback information processing method and system based on an LLM model. The method comprises the following steps: obtaining to-be-processed feedback data related to power law enforcement; based on a data cleaning and structuring algorithm, processing the feedback data to obtain structured data; based on a language recognition algorithm model, performing data entity extraction and entity relationship association on the structured data to obtain training data; and according to the training data, training and optimizing a preset LLM basic model to obtain an LLM prediction model for generating a law enforcement scheme. Therefore, the method can improve the targeted understanding and generation capability of the model in an electric power law enforcement scene, achieves the automatic conversion from the unstructured feedback information to the executable law enforcement scheme, and remarkably improves the intelligence and response efficiency of the law enforcement work.

There is described a deployable surveillance, security and / or enforcement system, comprising: a deployable surveillance, security and / or enforcement unit configured for deployment at a surveillance, security and / or enforcement location, the unit comprising two or more removable modules having equipment for performing surveillance, security and / or enforcement operations and the unit having a housing with at least one opening for receiving the two or more modules into the unit; and one or more bogies, each bogie comprising a chassis, wheelset and a pair of continuous tracks, each of the continuous tracks formed of linked track plates and the continuous tracks driven by one or more wheels of the wheelset, the bogie detachably coupled to the deployable surveillance, security and / or enforcement unit. Units are further described comprising one or more of: lifting jacks; an air-conditioning system configured to filter received external air; a retractable satellite antenna; a door system; and a fire suppression system.

1. The name of the design product: law enforcement recorder (C310). 2. The use of the design product: for recording law enforcement process. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

Techniques are described for visualizing enforcement of ZPR policy. A method includes aggregating log data associated with a flow of traffic within one or more networks; accessing rules associated with a policy that specifies how the flow of traffic is enforced between enforcement points within the one or more networks, wherein the policy includes one or more layer 4 rules and one or more layer 7 rules; determining, based on the rules associated with the policy, an enforcement of flow of traffic; generating a visualization of the enforcement of the flow of traffic between different enforcement points; and presenting the visualization for display within a user interface.

1. The name of the design product: law enforcement instrument (S7603). 2. The use of the design product: the design product is used for a law enforcement instrument. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The invention discloses a live broadcast interaction-oriented arrangement and compliance law enforcement method and system, and a storage medium. According to the method, an intelligent LLM cluster is used as a core execution unit, live broadcast interaction intermediate representation (LiveFlow-IR) represented by a directed acyclic graph (DAG) is adopted, and integrated control of orchestrable and law enforcement is carried out on the whole process from collection, governance, semantic restoration, clustering, clarification, distribution, reply / rejection to audit trace leaving. The system realizes real-time complementation, understanding and commissioning / conversion in a multi-language, multi-dialect, discontinuous, broken-support, unclear, incoherent and incomplete-semantic input scene; comprehensive decision making is carried out on the answerability, the commercial value, the compliance risk and the time delay cost through multi-target scoring, and a direct answer / clarification / rejection path is selected; before output, calculating a compliance criterion vector and executing compliance gating, and when a threshold value is not reached, degrading into a conservative verbal skill or refusing to answer and giving a substitution suggestion; outputting a verifiable evidence formed by binding with the data, and carrying out committed trace leaving; sLO (Service Level Object) steady-state operation is realized by combining risk budget, back pressure and drift control; and orderly output of a single foreground image is ensured through a speaking right Token ring. Compared with an existing loose integration scheme, the method gives consideration to interaction quality, compliance verifiability and time delay stability in a high-concurrency and strong-uncertainty environment, and is suitable for various live broadcast scenes such as e-commerce, education, government affairs and text travel.

The present application relates to a kind of public parking berth self-help management method and system, specifically related to a kind of management system and a kind of management method using information technology for social management.The management system includes using the existing communication network and electronic payment system of society, and the system is formed by mobile phone app+system server+patrol supervision app;The management method includes giving reduction and exemption according to the credit of berth user, fully using legal authorization to dynamically determine the use time of public berth to solve the contradiction of fairness and rationality in the use of public resources, reduce the difficulty of law enforcement.The present application can reduce the system construction and system operation cost to the minimum, greatly improve the public benefit and the space of parking fee standard reduction;Make management behavior fully meet the relevant provisions of the Civil Code related economic contract, do not produce the possibility of contract opinion invalid delivery and voucher no one management is damaged and lost, lay the foundation for judicial settlement of disputes.

The invention relates to the technical field of on-site law enforcement, and particularly discloses an on-site rapid law enforcement method and system based on an AI intelligent assistant, and the method comprises the steps: collecting the basic information of an illegal site, and extracting the information of a party and the current illegal behavior from the basic information of the illegal site; according to the party and the current illegal behavior information thereof, law enforcement process guidance information is generated, and the law enforcement process guidance information comprises an evidence collection list, a legal basis, a document template, a typical case and a current punishment suggestion; based on the law enforcement process guiding information, evidence collection and fact confirmation of the current illegal behavior are completed, so that the current punishment result of the party is determined; and executing the field simple program, the field quick-handling program or the field quick-cutting program according to the current punishment result of the party so as to generate a related electronic document. The law enforcement efficiency can be remarkably improved, the experience of the masses is improved, and the on-site law enforcement work is promoted to be transformed to digitization, intellectualization and standardization.