Sinovatio Officially Signs Data Classification and Grading Project with Xinjiang Government Service and Public Resources Trading Center

Recently, Sinovatio has signed a contract with Xinjiang Uygur Autonomous Region Government Service and Public Resources Trading Center. With core products including SAI Security Brain and data security operation platform, Sinovatio will fully carry out the Phase II construction of the data classification and grading project.

Prior to this, the center released the bid winning announcement. Sinovatio’s construction plan of "One Center, Two Engines" won the bid.

One Center: Optimize the achievements of Phase I classification and grading and form a set of implementable management measures. Two Engines: Build regular data security operation services empowered by AI security large model, to ensure the security and controllability of public resources trading data.

Sinovatio will build a data security operation platform for the client. From the perspective of compliance and AI, the platform establishes the framework of data security compliance operation system with minimal cost and high efficiency, and continuously improves data classification and grading standards. The AI security large model conducts in-depth analysis of data security risks. Combined with the data flow traceability graph generated by the platform, the system can track, jointly analyze and rapidly dispose security incidents during data transmission.

After project completion, data classification and grading will be integrated with regular data security operation services. A unified data security protection system centered on data classification and grading will be established.

The signing proves that Sinovatio takes an industry-leading position in technology research and development and project delivery for data security empowered by AI security large model, winning full trust and recognition from government clients.

AI Security Large Model Empowers Data Classification and Grading

Built on a tens-of-billion parameter architecture, the AI security large model integrates multi-dimensional knowledge base for classification and grading. It can generate reliable classification suggestions with complete reasoning paths in real time and provide intelligent auxiliary decision support. Empowered by the AI security large model, the classification hit rate reaches 100% and the accuracy reaches 75%. The model can intelligently identify personal data, important data, core data and other categories from business datasets.

AI Security Large Model Empowers Data Security Operation Management

Acting as the commander of security operation, the AI security large model replaces manual work for standardized operation and maintenance tasks, and coordinates multiple agents. It covers operation management, implementation and evaluation, forming a complete closed-loop security operation workflow. Equipped with capabilities such as logical reasoning, task planning, long-short term memory and tool calling, the model can analyze massive security alerts one by one, conduct investigation, evidence collection and reasoning, generate incident investigation reports, and realize in-depth investigation of data security risks. It supports efficient, accurate and transparent data security operation management.