Abstract:

[Objective] This paper analyzes the risks and challenges faced by artificial intelligence (AI) security. Aiming at the deficiencies of existing protection systems in systematic structure, the lifecycle management, and security capability assessment, it constructs a multi-dimensional and hierarchical AI security protection system model. [Methods] The model reorganizes the protection technology system into four aspects: network security, data security, information security, and application security. It integrates the lifecycle management of AI security and proposes a four-level capability system consisting of basic protection, perception and monitoring, active defense, and collaborative governance. [Results] The model is verified in applications such as AI security assessment and testing, AI safety guardrails design, and security capability lifecycle management. Compared with the traditional single-dimensional protection system, it realizes the full-cycle and multi-dimensional security coverage of AI systems, and significantly improves the pertinence and operability of protection. [Limitations] At present, the mechanisms for cross-platform and cross-organizational AI threat intelligence sharing and AI model collaborative evolution have not yet been established, which may affect the active defense and collaborative governance capabilities of AI systems against security risks. [Conclusions] The research results provide a theoretical framework and technical path for AI security governance, and have important reference value for promoting the secure development of AI.

Key words: artificial intelligence, security risk, security protection, model