differential privacy

With the rapid evolution of Large Language Model (LLM) technology and the deepening of enterprise digital transformation, the traditional passive data security protection system has been difficult to meet the defense needs of modern threats. The first data security intelligence in China realizes the paradigm shift from "artificial stacking" to "intelligent initiative" by integrating generative AI, adaptive protection mechanism, multi-intelligence collaboration and other cutting-edge technologies.

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.