Zero Trust Architecture

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.

In 2026, the AI security landscape is undergoing a fundamental reshaping. In response to a global cybersecurity talent gap of up to 4.8 million, organizations are massively deploying high-privilege, 24/7 running AI intelligences are becoming targets for attackers. However, these autonomous systems are also quickly becoming a focal point for attackers.Top security organizations such as Palo Alto Networks, Moody's, and CrowdStrike predict that AI intelligences will be the biggest insider threat facing enterprises by 2026. Traditional defense frameworks are failing and new governance systems and protection architectures have become necessary.

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.