Data Security

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.

Encryption of critical business data is an important measure to prevent leakage and unauthorized access to an organization's sensitive information. By implementing strong encryption technologies and strategies, organizations can mitigate business risks in the development of digital transformation and maintain the confidentiality, integrity and availability of their core data assets. But how should organizations choose the right encryption technologies, methods and tools?

Abstract Data ownership and its distribution rules are unclear, which has become the biggest institutional obstacle to the development of the digital economy. To correctly discuss the issue of data ownership, we first need to clearly define the three concepts of privacy, information and data. The biggest difference between personal information and privacy is that personal information emphasizes self...