The Great Model of Security

  • Data Security Intelligence Body: AI-driven paradigm for next-generation enterprise data security protection

    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.

    January 13, 2026
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  • AI security architecture: from AI capabilities to security platform landing practice

    Future-oriented AI security architecture is not only a technical issue, but also a strategic shift. From "tool-driven" to "intelligence-driven", from "after-the-fact response" to "before-the-fact governance", from "artificial dependence" to "human-machine collaboration" - these shifts will profoundly change the face of the security industry. From "artificial dependence" to "human-machine collaboration" - these changes will profoundly change the appearance of the security industry.

    Those enterprises that take the lead in building AI-native security systems will gain a competitive advantage in multiple dimensions such as threat detection, operational efficiency, cost control, and talent retention. And those enterprises that are stuck in traditional tool stacking and rule writing will eventually be eliminated by the times.

    The development of AI is irreversible. Security decision makers should take immediate action to seize this historic opportunity by launching the construction of AI security platforms in four dimensions: strategy, organization, technology and investment.

    December 30, 2025
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