LLM Security

This paper takes the AI security threat matrix as the core framework, and based on the mature ATT&CK methodology, it systematically elaborates on the full lifecycle security threats faced by AI systems, including key attack techniques such as data poisoning, model extraction, privacy leakage, confrontation samples, and cue word injection, etc., and puts forward the corresponding defense strategies and enterprise landing solutions, providing AI engineers, security engineers, and CSOs with professional technical Reference.

This report is based on the five core attack surfaces consisting of AI AI critical links from AI Assistants, Agents, Tools, Models, and Storage, with targeted security risks, defense architectures, and solutions.