Multi-agent collaborative arrangement method and system based on software supply chain security detection

CN122661019BActive Publication Date: 2026-10-16HANGZHOU XIAODAO TECH CO LTD
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Patent Information

Application Number
CN202611159243.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2026-08-01
Publication Date
2026-10-16
Estimated Expiration
2046-08-01

AI Technical Summary

Technical Problem

[0005]为了克服现有技术的上述缺陷，本发明提供基于软件供应链安全检测的多智能体协同编排方法及系统，用于解决现有软件供应链安全检测体系中，多专项安全检测智能体相互孤立运行，缺乏基于任务状态机的阶段化编排机制，上游扫描结果无法驱动下游检测策略动态调整，且局部节点失败时缺乏补偿能力，导致多扫描器协同检测的精度与可靠性不足的问题

Benefits of technology

[0016] The technical effects and advantages of this invention, based on a multi-agent collaborative orchestration method and system for software supply chain security detection, are as follows: This invention utilizes a task state machine to uniformly manage the lifecycle of each detection node and combines it with an asynchronous message queue to achieve decoupled communication between multiple security detection agents, improving the concurrent execution capability of detection tasks and the system's scalability. The result-driven orchestration engine can dynamically generate detection strategy parameters for downstream security detection agents based on the detection results output by upstream security detection agents. This allows subsequent detection resources, detection rules, and detection scope to be adaptively adjusted according to risk levels, avoiding resource waste caused by traditional fixed detection processes and improving the detection depth and accuracy of key risk areas. When a detection node experiences an anomaly, the corresponding failure node compensation strategy is automatically matched according to the anomaly type, and targeted automatic recovery processing is performed on the anomaly detection node. After compensation is completed, the subsequent detection process continues, effectively preventing the interruption of the entire detection task due to partial detection failure, and improving the continuity, stability, and reliability of the software supply chain security detection process.

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Abstract

The present application relates to the technical field of computer software security, and specifically discloses a multi-agent collaborative arrangement method and system based on software supply chain security detection, wherein a task disintegration and stage arrangement engine is constructed to organize multiple special security detection agents such as SCA agents, code audit agents and license detection agents into a directed acyclic graph type detection pipeline; a task state machine is used to manage the life cycle state of each detection node, and asynchronous queues are used to realize decoupled communication between agents; the scanning results of upstream agents are used as the task input and strategy parameters of downstream agents to realize result-driven dynamic arrangement; and a failure node compensation mechanism is used to automatically retry or degrade and replace abnormal detection nodes to ensure the integrity of the overall detection task and improve the reliability and integrity of software supply chain security detection.
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