An artificial intelligence general governance rule cross-system interconnection and compliance detection system

Abstract

This invention discloses a cross-system interconnection and compliance detection system for general governance rules of artificial intelligence, belonging to the field of artificial intelligence security governance technology. The system includes a hardware-isolated security main control module, a cross-system standard interconnection protocol stack, a non-intrusive behavior acquisition module, a multi-domain governance rule matching engine, a compliance closed-loop verification module, and a result anti-tampering evidence storage module. This invention adopts a hardware isolation architecture to build an isolated operating environment, realizes the interconnection of heterogeneous AI systems without modification based on an international standard protocol stack, collects operating data through non-intrusive technology, completes dynamic verification by combining hierarchical compliance baselines, controls violations through hardware isolation layer instructions, and completes full-link data evidence storage and traceability based on encryption technology. This invention solves the technical problems of existing technologies, such as strong invasiveness, poor compatibility, easy tampering of compliance control, and lack of international standard adaptation, and can be applied to the compliance governance of various types of artificial intelligence systems.

Description

Technical Field

[0001] This invention relates to the fields of artificial intelligence security governance, heterogeneous system interconnection and communication, and data compliance detection technology, specifically to a cross-system interconnection and compliance detection system for general artificial intelligence governance rules. Background Technology

[0002] With the large-scale application of artificial intelligence technology, the architectures of various AI terminals, cloud platforms, and edge devices are becoming increasingly heterogeneous, and the industry lacks unified governance rules and interconnection standards. Existing compliance testing technologies mostly adopt intrusive source code modification solutions, which are costly to adapt to, easily affect the stability of system operation, and the verification logic is deployed at the software layer, posing a risk of tampering. At the same time, existing technical solutions lack the ability to adapt to international standard interfaces, making it difficult to meet cross-border compliance and regulatory requirements, and lack a full-chain data traceability and evidence storage mechanism, thus failing to achieve unified compliance governance for multiple types of AI systems. Summary of the Invention

[0003] The purpose of this invention is to provide a cross-system interconnection and compliance detection system for general governance rules of artificial intelligence, which solves the problems of strong invasiveness, poor compatibility, easy tampering of control logic, and lack of international standard adaptation capability in the existing technology; This invention takes a hardware-isolated security control module as its core, achieves seamless interconnection of heterogeneous AI systems through a protocol stack compatible with international standards, collects device operation data using non-intrusive technology, completes dynamic compliance verification by combining hierarchical compliance baselines, controls violations through hardware isolation layer instructions, and completes full-link data traceability by relying on encrypted evidence storage technology, thus forming a complete compliance governance closed loop. Detailed Implementation

[0004] The present invention will now be described in further detail with reference to the accompanying drawings: The AI ​​general governance rule cross-system interconnection and compliance detection system described in this invention consists of a hardware-isolated security main control module, a cross-system standard interconnection protocol stack, a non-intrusive behavior acquisition module, a multi-domain governance rule matching engine, a compliance closed-loop verification module, and a result anti-tampering evidence storage module. The hardware-isolated security control module is deployed in the TEE security chip and the server hardware encryption area. The verification logic runs in isolation and is physically isolated from the host system, reducing the risk of permission tampering and control logic being bypassed, and providing underlying security support for the system. The cross-system standard interconnection protocol stack is compatible with ITU-T / ISO / IEC international standard interfaces, supports encrypted communication protocols, and can be connected to cloud AI platforms, edge terminals, and heterogeneous government and enterprise systems. It can achieve multi-device interconnection and communication without source code modification. The non-intrusive behavior acquisition module collects AI operation data through hardware port mirroring and bypass listening technology. The acquisition process does not touch or modify the target system source code, thus ensuring the original operational stability of the system. The multi-domain governance rule matching engine has a built-in hierarchical compliance baseline, which matches the collected data with the corresponding governance rules in real time; the compliance closed-loop verification module outputs the judgment result and issues hardware isolation layer blocking instructions for violations; As a result, the anti-tampering evidence storage module performs hash encryption on the entire process logs and blocking records for evidence storage, enabling data traceability, adapting to compliance audit requirements, and forming a complete governance closed loop. This embodiment is a preferred embodiment of the present invention. All equivalent substitutions and modifications made within the technical principles of the present invention are within the protection scope of the present invention. Attached Figure Description

[0005] Figure 1 This is a schematic diagram of the overall system architecture of the present invention; Figure 2 This is a schematic diagram illustrating the cross-system standard interconnection and interoperability of the present invention; Figure 3 This is a flowchart illustrating the compliance detection and execution blocking process of this invention. Figure 4 This is a flowchart illustrating the data storage and traceability process of this invention. Total number of attached images: 4.

Claims

1. A cross-system interconnection and compliance detection system for general governance rules of artificial intelligence, characterized in that, It includes a hardware-isolated security main control module, a cross-system standard interconnection protocol stack, a non-intrusive behavior acquisition module, a multi-domain governance rule matching engine, a compliance closed-loop verification module, and a result anti-tampering evidence storage module; The hardware-isolated security main control module is deployed on the terminal TEE security chip or the server hardware encryption zone, and is physically isolated from the host system. It is used for isolated execution rule verification and data isolation processing, and does not depend on the host system's computing power and access permissions. The cross-system standard interconnection protocol stack is compatible with ITU-T / ISO / IEC international standard interfaces and is used for source code-free adaptation and connection of heterogeneous AI systems, cloud platforms, and edge terminals to achieve cross-domain synchronization and unified execution of governance rules; The non-intrusive behavior acquisition module acquires AI interaction behavior, permission calls, and data flow data through hardware port mirroring and system call bypass acquisition, without modifying the original source code of the AI ​​system during the acquisition process; The multi-domain governance rule matching engine has a built-in hierarchical compliance baseline, which is used to dynamically match the collected data with applicable governance rules and industry compliance rules in multiple regions. The compliance closed-loop verification module is used to output compliance judgment results and trigger the hardware isolation layer to block violations. The tamper-proof evidence storage module is used to encrypt and store verification logs and blocking records, completing a cross-system full-link compliance closed loop.

2. The cross-system interconnection and compliance detection system for general governance rules of artificial intelligence according to claim 1, characterized in that, The cross-system standard interconnection protocol stack supports TCP / IP, MQTT and industrial-grade encrypted transmission protocols, and is compatible with various hardware communication interfaces.

3. The cross-system interconnection and compliance detection system for general governance rules of artificial intelligence according to claim 1, characterized in that, The tiered compliance baseline includes three categories of compliance thresholds: protection of minors, financial data security, and cross-border data transfer.

4. The cross-system interconnection and compliance detection system for general governance rules of artificial intelligence according to claim 1, characterized in that, The blocking instructions of the hardware isolation layer are executed independently of the operating system.

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