An AI agent instruction pre-interception and full-link security management system based on hardware isolation trust root
By implementing hardware-isolated trust root modules, AI commands are pre-intercepted at the hardware level and the entire chain of security control is achieved. This solves the problems of software-level bypass, audit data tampering, and firmware updates being abused in existing technologies, and achieves absolute control over AI behavior, accurate traceability of responsibility, and absolute protection of privacy.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- 廖长林
- Filing Date
- 2026-04-16
- Publication Date
- 2026-07-10
AI Technical Summary
Existing AI security control technologies have issues such as the ability to bypass the software layer, the ability to tamper with audit data, and the potential for abuse of firmware updates, resulting in uncontrollable AI behavior, untraceable responsibility, and unprotected privacy.
It adopts a hardware-isolated trust root module, which integrates an instruction pre-interception unit, a behavior rule storage unit, a hierarchical processing execution unit, an immutable evidence storage unit, a regulatory read-only audit channel, and a firmware update security lock unit. It directly performs AI instruction inspection and security control at the hardware level, forming a complete closed loop.
It achieves absolute control over AI behavior, precise traceability of responsibility, and absolute protection of privacy, meets legal requirements, prevents bypass and tampering, and provides security throughout the entire lifecycle.
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Abstract
Description
Technical Field
[0001] This invention relates to the fields of artificial intelligence security technology, hardware security technology, and smart terminal technology, and in particular to an AI intelligent agent instruction pre-interception, hierarchical forced handling, and full-link security control system based on hardware-isolated trust root. Background Technology
[0002] With the rapid development of artificial intelligence technology, AI agents, edge-cloud collaborative models, and portable smart terminals have been widely applied in various fields of production and daily life. However, as the autonomous behavior capabilities of AI agents continue to increase, issues such as behavioral safety, attribution of responsibility, and privacy protection have become a global focus of attention. Currently, existing AI security management technologies suffer from the following three unresolved core flaws: 1. All control logic runs at the software layer and can be easily bypassed. Existing technologies all implement AI behavior monitoring and interception at the operating system kernel or application layer. Users can directly disable or tamper with the software control module through rooted / jailbroken devices, manufacturers can do so through OTA firmware updates, and hackers can do so through system vulnerabilities, rendering all security rules completely ineffective. Existing hardware isolation technologies (such as ARM TrustZone and Intel SGX) can only isolate the AI operating environment from the main operating system, and cannot perform real-time inspection and interception of hardware access commands and data transmission commands issued by AI agents; 2. Lack of a legally compliant and tamper-proof audit mechanism. AI regulations in all countries worldwide require AI systems to be auditable and traceable. However, current auditing channels are all implemented in software, meaning audit data can be tampered with or deleted, rendering it unusable as judicial evidence. 3. Lack of firmware update security lock mechanism All security settings in existing AI security systems can be modified via OTA firmware updates from the manufacturer. Some manufacturers, in order to improve user experience or for commercial gain, may secretly disable or weaken security control mechanisms, exposing users to serious security risks. The aforementioned deficiencies prevent existing AI security technologies from truly achieving the goals of "controllable AI behavior, traceable responsibility, and protected privacy," severely hindering the healthy development of artificial intelligence technology. Therefore, there is an urgent need for a hardware-isolated, unbypassable, end-to-end AI agent security management system. Summary of the Invention
[0003] Purpose of the invention The purpose of this invention is to overcome the shortcomings of the prior art and provide an AI agent instruction pre-interception and full-link security management system based on hardware-isolated root of trust. This system solves the core problems in the prior art, such as the possibility of bypassing software control, the possibility of tampering with audit data, and the possibility of abusing firmware updates. It achieves absolute controllability of AI agent behavior, accurate traceability of responsibility, and absolute protection of privacy.
[0004] Technical solution To achieve the above objectives, the present invention adopts the following technical solution: An AI agent instruction pre-interception and end-to-end security management system based on hardware-isolated root of trust includes: • Hardware-isolated root of trust module: Independent of the central processing unit, operating system, AI runtime environment and all upper-layer applications, it has the highest hardware execution authority. Its running status, stored data and execution logic cannot be tampered with, read or blocked by any upper-layer software or AI agent. • Instruction pre-interception unit: Integrated inside the hardware isolation trust root module, it is directly connected in series with the hardware bus between the AI processor and the main processor. It is used to perform instruction-by-instruction real-time parsing and comparison before each instruction of the AI agent reaches the main processor for execution. • Behavior rule storage unit: electrically connected to the instruction pre-interception unit, used to store a preset list of permitted behaviors and a list of prohibited behaviors for the AI agent, which can only be updated through hardware-level authorization; • Tiered handling execution unit: Integrated inside the hardware isolation root of trust module, it is used to directly issue corresponding handling instructions to the hardware control circuit based on the instruction comparison results and the preset hazard level. • Tamper-proof evidence storage unit: Integrated inside the hardware-isolated root of trust module, it is a one-time write hardware storage medium used to automatically store the complete chain data of violations, handling instructions and execution results; • Regulatory read-only audit channel: Integrated within the hardware-isolated root of trust module, it adopts a hardware-level unidirectional transmission design to allow regulatory agencies to remotely read audit data, but prohibits any write operations; • Firmware update security lock unit: Integrated inside the hardware-isolated root of trust module, used to prohibit any firmware update operation that is not digitally signed at the hardware level; • Human responsibility penetration root base: Communicates with the hardware-isolated trust root module to receive traceability evidence and determine responsibility attribution; Furthermore, the tiered handling execution unit performs three levels of handling based on the severity of the violation: • Level 1 Response (Minor Violation): Directly block the execution of the violating command, revoke the hardware access permissions for the corresponding function, and issue an alert to the user; • Level 2 action (moderate violation): Directly cut off all computing power and network hardware access permissions of the AI agent, making it completely offline, and issue an alert to the user and the person responsible; • Level 3 Handling (Severe Violation / Emergency Shutdown): Directly lock the hardware operating status of the entire smart terminal or cloud server instance, retaining only the operation of the hardware isolation trust root module itself, until hardware-level authorization is obtained from the responsible party to unlock it.
[0005] Beneficial effects Compared with the prior art, the present invention has the following significant advantages: 1. Achieved truly unavoidable AI behavior control. This invention moves the instruction interception logic from the software layer to the hardware layer, directly connected in series on the bus between the AI processor and the main processor. All AI instructions must undergo hardware-level checks before execution, eliminating any bypass paths. This fundamentally solves the problem of software control being bypassed by root access, firmware updates, and system vulnerabilities. 2. Provided legally compliant and tamper-proof audit evidence. This invention uses a one-time write-only hardware storage medium to store audit data, ensuring that no entity, including the user, manufacturer, or regulatory agency, can modify or delete the stored evidence. It also provides a hardware-level one-way regulatory audit channel, meeting the requirements of all global AI regulatory regulations, and the audit data can be directly used as judicial evidence. 3. Achieved full lifecycle security protection. The firmware update security lock unit of this invention prohibits any firmware update operation without hardware-level authorization, fundamentally preventing manufacturers from secretly disabling the security control mechanism through OTA, and realizing full life-cycle security protection for AI systems from factory to scrap. 4. Fully compatible with existing hardware, with extremely low deployment costs. This invention fully reuses the security chips (SE / TEE) that are already in mass production in existing smart terminals and cloud servers. It does not require the addition of any new hardware chips and can be implemented by only modifying a small amount of firmware code. The cost increase per device is extremely low, making it easy to promote and apply on a large scale. 5. A complete closed loop of AI security technology has been formed. This invention seamlessly integrates with existing AI identity authentication, access control, accountability, and edge-cloud collaboration technologies, forming a complete AI security technology closed loop that encompasses external intrusion protection, internal behavior control, pre-event rule setting, in-event mandatory interception, and post-event accountability. Attached Figure Description
[0006] Figure 1This is the overall architecture diagram of the AI intelligent agent end-to-end security management system based on hardware isolation root of trust described in this invention; Figure 2 This is a flowchart illustrating the pre-interception and tiered processing of instructions as described in this invention. Figure 3 This is a flowchart of the cross-system collaborative processing described in this invention. Detailed Implementation
[0007] The present invention will now be described in detail with reference to the accompanying drawings and specific embodiments: Example 1: Portable Smart Terminal Example This embodiment provides an AI intelligent agent end-to-end security management system for portable intelligent terminals such as smartwatches and smartphones: like Figure 1 As shown, the system includes: • Hardware-isolated root trust module 1: Implemented using ARM TrustZone technology, it is integrated into the main chip of the smart terminal and is independent of the main operating system and AI runtime environment; • Instruction pre-interception unit 2: Integrated inside the hardware isolation trust root module 1, directly connected in series on the AXI bus between the NPU (AI processor) 9 and the main processor 10; • Behavior rule storage unit 3: Integrated in the OTP (one-time programmable) memory of the hardware isolated trust root module 1, it stores the preset list of allowed behaviors and prohibited behaviors of the AI agent; • Hierarchical processing execution unit 4: Integrated inside the hardware isolation trust root module 1, and directly electrically connected to the hardware control circuit 11; • Tamper-proof evidence storage unit 5: integrated in the OTP memory of hardware-isolated trust root module 1; • Regulatory read-only audit channel 6: Integrated inside the hardware isolated trust root module 1, it connects to external regulatory devices via a USB interface; • Firmware update security lock unit 7: Integrated inside the hardware isolation trust root module 1, and connected to the terminal's OTA update module; • Human Responsibility Penetrating Root Base 8: Runs within the hardware-isolated trust root module 1 and is bound to the terminal's global digital identity system; The workflow of this embodiment is as follows: Figure 2 As shown: 1. The AI agent generates a hardware access instruction via NPU 9; 2. The instruction is transmitted to the instruction pre-interception unit 2 via the AXI bus; 3. The instruction pre-interception unit 2 compares the instruction with the list of allowed behaviors and the list of prohibited behaviors in the behavior rule storage unit 3; 4. If the instruction is compliant, allow it to be executed on the main processor 10; 5. If the instruction is violated, the graded handling execution unit 4 will execute the corresponding handling action according to the violation level; 6. Before the action is taken, the tamper-proof evidence storage unit 5 automatically stores the complete chain data of the violation, the action instructions, and the execution results; 7. After the handling action is completed, the Human Responsibility Penetration Root Base 8 determines the attribution of responsibility based on the traceability evidence and issues an alert to the user and the person attributing the responsibility; Example 2: Cloud Server Example This embodiment provides an AI agent end-to-end security management system applied to cloud servers: The difference from Example 1 is as follows: • Hardware Isolation Trust Root Module 1: Implemented using Intel SGX technology and integrated inside the CPU of the cloud server; • Command pre-interception unit 2: Simultaneously checks commands from both the local AI agent and the cloud AI agent; • Tiered handling execution unit 4: can directly cut off the network connection and computing power allocation of cloud server instances; • Regulatory read-only audit channel 6: Connects to the national AI security regulatory platform via the Internet.
[0008] The other structures and workflows of this embodiment are the same as those of Embodiment 1.
[0009] Example 3: Cross-system collaborative handling example This embodiment provides a cross-system AI agent security linkage handling method, the workflow of which is as follows: Figure 3 As shown: 1. The hardware isolation root of trust module of the first system detected that the AI agent had committed a cross-system violation; 2. The hardware isolation trust root module of the first system executes local processing actions and generates evidence for tracing the source of violations; 3. The hardware isolation root of trust module of the first system transmits violation handling instructions and traceability evidence to the hardware isolation root of trust modules of all related systems simultaneously through the cross-system interoperability protocol; 4. The hardware isolation trust root modules of all related systems simultaneously execute the corresponding level of handling actions; 5. All related systems' human responsibility is determined jointly from the root level; The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.
Claims
1. A hardware-isolated root of trust-based AI agent end-to-end security management system, characterized in that, include: • A hardware-isolated root trust module pre-installed in a smart terminal or cloud server. The root trust module is independent of the central processing unit, operating system, AI operating environment and all upper-layer applications. It has the highest hardware execution authority. Its operating status, stored data and execution logic cannot be tampered with, read or blocked by any upper-layer software or AI agent. • An instruction pre-interception unit integrated within the hardware isolation trust root module is used to perform real-time, instruction-by-instruction parsing and comparison of each instruction of the AI agent before it reaches the main processor for execution; • A behavior rule storage unit electrically connected to the instruction pre-interception unit is used to store a preset list of permitted behaviors and a list of prohibited behaviors for the AI agent. The list can only be updated through hardware-level authorization. • The hierarchical processing execution unit integrated within the hardware isolation trust root module is used to directly issue corresponding level processing instructions to the hardware control circuit based on the instruction comparison results and the preset hazard level. • An immutable evidence storage unit integrated within the hardware-isolated trust root module is used to automatically store complete link data, handling instructions, and execution results of violations; • A regulatory read-only audit channel integrated within the hardware-isolated root of trust module allows regulatory agencies to remotely read audit data, but prohibits any write operations; • The firmware update security lock unit integrated within the hardware isolation root of trust module is used to prohibit any firmware update operation that is not digitally signed at the hardware level. • A human responsibility penetration root base that communicates with the hardware-isolated trust root module is used to receive traceability evidence and determine responsibility attribution.
2. The system according to claim 1, characterized in that, The instruction pre-interception unit is directly connected in series on the hardware bus between the AI processor and the main processor. All instructions issued by the AI agent must be checked by this unit before they can be executed, and there is no bypass path.
3. The system according to claim 1, characterized in that, The tiered response unit implements three levels of response based on the severity of the violation: • Level 1 Response (Minor Violation): Directly block the execution of the violating command, revoke the hardware access permissions for the corresponding function, and issue an alert to the user; • Level 2 action (moderate violation): Directly cut off all computing power and network hardware access permissions of the AI agent, making it completely offline, and issue an alert to the user and the person responsible; • Level 3 Handling (Severe Violation / Emergency Shutdown): Directly lock the hardware operating status of the entire smart terminal or cloud server instance, retaining only the operation of the hardware isolation trust root module itself, until hardware-level authorization is obtained from the responsible party to unlock it.
4. The system according to claim 1, characterized in that, The immutable evidence storage unit is a one-time write hardware storage medium that allows only the hardware-isolated root of trust module to write data. No other entity, including the user, manufacturer, or regulatory agency, can modify or delete the stored traceability evidence.
5. The system according to claim 1, characterized in that, The regulatory read-only audit channel adopts a hardware-level unidirectional transmission design, which only allows regulatory agencies to read audit data and prohibits any data from being written into the hardware-isolated trust root module through this channel.
6. The system according to claim 1, characterized in that, The firmware update security lock unit only allows firmware update packages that have been digitally signed at the hardware level to be updated, and any unsigned firmware update package will be directly rejected.
7. The system according to claim 1, characterized in that, When the AI agent's violation involves cross-system operations, the hardware isolation root module will send the violation handling instructions to the hardware isolation root modules of all related systems simultaneously through the cross-system interoperability protocol to execute coordinated handling.
8. The system according to claim 1, characterized in that, The hardware isolation trust root module is electrically connected to the local brain and cloud brain in the edge-cloud dual-brain architecture, and at the same time, it performs unified management and control over the behavior of the local AI agent and the cloud AI agent.
9. The system according to claim 1, characterized in that, The permitted and prohibited behavior lists are linked to the full-domain digital identity system, and users with different identities have different AI behavior permission ranges.
10. A smart terminal implementing the system according to any one of claims 1-9, characterized in that, It includes a hardware isolation root trust chip, an AI processor, a memory, a communication module, and a hardware control circuit. The hardware isolation root trust chip is connected in series on the bus between the AI processor and the hardware control circuit.