Artificial intelligence-based user data security protection method

Abstract

The present invention relates to the technical field of data security protection, and particularly to an artificial intelligence (AI)-based user data security protection method. The method includes the following steps: S1: AI-driven data classification and grading; S2: dynamic risk intelligent assessment; S3: reinforcement learning-driven protection strategy generation; S4: real-time monitoring and adaptive adjustment; and S5: security audit and traceability. The AI-based user data security protection method solves the defects of existing data security protection including reliance on manual work, static risk assessment, rigid protection strategies and inaccurate traceability, realizes the automation, intelligence, and precision of data security protection, adapts to multiple scenarios including mobile terminals, cloud, cross-border transmission, and the Internet of Things (IoT), is compatible with existing systems without large-scale transformation, and can be widely applied to various fields requiring user data security guarantee such as Internet enterprises, financial institutions, government affairs systems, medical and health care, and IoT equipment manufacturers.