An AI software and hardware integrated terminal traceability management and control system for local open external network management and control

Abstract

This invention discloses an integrated AI hardware and software terminal traceability and control system with local open external network management, belonging to the field of artificial intelligence terminal security management technology. The system includes a terminal hardware module, a local AI computing module, an internal and external network isolation and control module, an operation behavior traceability and recording module, and a permission-based hierarchical control module. The terminal is equipped with an independent computing chip to achieve local offline AI inference computation without relying on a cloud server; it adopts underlying port dynamic isolation technology to open and close external network access channels as needed, and after closing, the terminal operates securely in a closed-loop internal network throughout the process; it records all AI call commands, computation processes, and output content in real time, and the logs are encrypted and permanently stored locally, preventing manual deletion and tampering; through multi-level permission-based hierarchical control, it limits the scope of AI function calls for different users. This invention effectively improves the network security, data security, and full-process behavior traceability and auditing capabilities of local AI terminals, is adaptable to mobile terminal scenarios such as smartphones, and is secure, compliant, and highly practical.

Description

Technical Field

[0001] This invention relates to the fields of artificial intelligence terminal security management, network isolation, and behavior tracing technology, specifically to an AI hardware and software integrated terminal tracing and management system with local open external network control. Background Technology

[0002] Currently, most AI terminals rely on cloud servers for model inference and data computation. Access to both internal and external networks is not finely controlled, and network links are open without restrictions, making them highly susceptible to security risks such as data leakage, unauthorized network access, and abnormal command calls. Furthermore, existing AI terminals lack a full-process operational behavior traceability mechanism; AI computation logs and interaction records can be easily deleted or tampered with, making it impossible to trace responsibility and conduct security audits. The control level for switching between internal and external networks is too shallow to achieve underlying hardware-level isolation. Offline local AI computation and on-demand external network access cannot coordinate stably. The security and compliance of AI terminals used in personal and confidential scenarios are insufficient, exhibiting significant security vulnerabilities and control deficiencies. Summary of the Invention

[0003] The purpose of this invention is to provide an AI hardware and software integrated terminal traceability and control system that allows for local open external network control. This system enables AI terminals to perform independent offline computation, dynamically isolate and control internal and external networks, ensure tamper-proof traceability of the entire operation process, and implement hierarchical access control. It does not rely on cloud computing power and operates autonomously in a closed loop, significantly improving the network security, data security, and behavioral traceability of AI terminals. This system comprises a terminal hardware module, a local AI computing module, an internal / external network isolation and control module, an operation behavior tracing and recording module, and a hierarchical access control module. The terminal hardware module is equipped with an independent computing chip, providing stable hardware support for local AI operation. The local AI computing module is built into the terminal and deployed locally, completing AI inference calculations independently and offline without connecting to a cloud server. The internal / external network isolation and control module performs bidirectional security blocking of terminal network access, allowing temporary opening of external network access channels as needed. After the channel is closed, the terminal AI enters a closed-loop isolation operation mode within the internal network. The operation behavior tracing and recording module collects AI call commands, data from the entire computation process, and model output in real time, with all data encrypted and securely stored locally. The hierarchical access control module divides users into multiple levels of access permissions, strictly limiting the scope of AI function calls for different user levels to prevent unauthorized operations.

[0004] Furthermore, the terminal hardware adopts a smartphone terminal architecture with a built-in dedicated NPU computing unit, adapting to the local deployment of lightweight artificial intelligence models and ensuring efficient and stable offline AI computing. Internal and external network isolation and control employ underlying system-driven interception technology, directly and dynamically opening and closing terminal network ports, resulting in faster isolation response and more thorough control, preventing bypassing of upper-layer vulnerabilities. The operation behavior tracing and recording module has log encryption, packaging, and solidification functions; all tracing logs are locally encrypted and sealed, preventing manual deletion, modification, or overwriting, thus leaving a complete record of the entire operation. Detailed Implementation In practical applications, this system utilizes terminal hardware modules to provide underlying computing power, enabling local AI models to run and compute offline throughout the entire process. Administrators manage the external network access as needed via an internal / external network isolation control module, maintaining a secure closed-loop operation of the internal network during daily use and only temporarily opening the external network for essential scenarios. Users utilize AI functions according to their corresponding permission levels. All command interactions, computation processes, and output results are recorded and encrypted in real time, with logs permanently immutable, achieving full lifecycle security management, complete traceability of behavior, and secure control over both internal and external networks. Beneficial effects This invention achieves integrated local closed-loop management of AI terminal hardware and software, enabling independent operation without cloud reliance; it enables flexible isolation between internal and external networks, with external network access available on demand; operation logs are encrypted to prevent deletion and modification, ensuring full traceability and accountability; hierarchical permission control standardizes terminal usage behavior, effectively preventing data leakage, unauthorized network access, and abnormal AI operation risks. It is widely applicable to personal security terminals, government confidential terminals, and industry-specific AI devices, offering security, reliability, and strong practicality.

Claims

1. A local open external network controlled AI hardware and software integrated terminal traceability and control system, characterized in that: The system includes a terminal hardware module, a local AI computing module, an internal / external network isolation and control module, an operation behavior tracing and recording module, and a permission-level control module. The terminal hardware module is equipped with an independent computing chip, providing the hardware foundation for local AI operation. The local AI computing module is deployed internally within the terminal, performing AI inference calculations entirely offline, without relying on cloud servers. The internal / external network isolation and control module bidirectionally intercepts the terminal's network activity, opening external network access channels as needed, and closing these channels to ensure the terminal's AI operates entirely within a closed-loop internal network. The operation behavior tracing and recording module records AI call commands, computation processes, and output content in real time and stores them locally with encryption. The permission-level control module classifies usage permission levels, limiting the scope of AI function calls.

2. The AI ​​hardware and software integrated terminal traceability and control system with local open external network management as described in claim 1, characterized in that: The terminal hardware module is a smartphone terminal with a built-in NPU computing unit, which is adapted for local deployment of lightweight AI models.

3. The AI ​​hardware and software integrated terminal traceability and control system with local open external network management as described in claim 1, characterized in that: The internal and external network isolation and control module adopts a low-level system-driven interception method to dynamically open and close terminal network ports.

4. The AI ​​hardware and software integrated terminal traceability and control system with local open external network management as described in claim 1, characterized in that: The operation behavior tracing and recording module has a log encryption and packaging function, and the log files cannot be deleted or tampered with.