Today, at the opening ceremony of the 2026 National Cyber Security Awareness Week, the National Cyber Security Standardization Technical Committee released the “Artificial Intelligence Security Governance Framework 3.0”. In order to respond to new trends in artificial intelligence development and new security governance challenges, under the guidance of the State Internet Information Office, the Internet Security Standard Committee organized professional institutions, research institutes, and industry enterprises such as the China Cyberspace Research Institute and the National Internet Information Office Data and Technical Support Center to research and prepare “Framework 3.0”. “Framework 3.0” adheres to the concept of being people-oriented and positive, adheres to and implements the guiding principles of strengthening risk awareness and ensuring safety and control, continues the core logic of “risk classification, technical response, and comprehensive management”, sorts out and updates risk classification with the times, and optimizes and adjusts technical responses and comprehensive management measures to promote the improvement of AI security management consensus and risk prevention and response capabilities, and ensure that artificial intelligence technology benefits humans.

Today, at the opening ceremony of the 2026 National Cyber Security Awareness Week, the National Cyber Security Standardization Technical Committee released the “Artificial Intelligence Security Governance Framework 3.0”. In order to respond to new trends in artificial intelligence development and new security governance challenges, under the guidance of the State Internet Information Office, the Internet Security Standard Committee organized professional institutions, research institutes, and industry enterprises such as the China Cyberspace Research Institute and the National Internet Information Office Data and Technical Support Center to research and prepare “Framework 3.0”. “Framework 3.0” adheres to the concept of being people-oriented and positive, adheres to and implements the guiding principles of strengthening risk awareness and ensuring safety and control, continues the core logic of “risk classification, technical response, and comprehensive management”, sorts out and updates risk classification with the times, and optimizes and adjusts technical responses and comprehensive management measures to promote the improvement of AI security management consensus and risk prevention and response capabilities, and ensure that artificial intelligence technology benefits humans.