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TC260’s AI Safety Governance Framework is a technical governance guide, not by itself a binding law or product certification.
Version 2.0, released in September 2025, updates the earlier risk taxonomy and control guidance to reflect newer AI capabilities and deployment practices.
China’s National Information Security Standardization Technical Committee, commonly called TC260, publishes technical guidance and standards work for cybersecurity and data security. Its AI Safety Governance Framework is a risk-management reference for organizations developing, providing, or using AI. Version 1.0 appeared in 2024; version 2.0 was released on 15 September 2025 under the guidance of the national cyberspace authority. TC260 says the update follows changes in AI technology and applications, refines risk categories, explores risk grading, and dynamically adjusts prevention and governance measures. The framework treats AI safety as broader than model behavior alone. Risks can arise inside the technology, including data, model, algorithm, and system security, and through use across network, physical, cognitive, and ethical domains. The first version’s development and service guidance addressed data provenance and protection, bias checks, alignment, security testing, version management, ability limits, and user information. Version 2.0 builds on this approach, while the detailed framework should be consulted directly for its latest categories and controls. A framework is not the same as a statute, mandatory national standard, or regulator approval. Its role is to organize risk identification and possible measures, and to support shared practices. Separate laws and binding rules can impose duties on particular services, such as China’s generative-AI or deep-synthesis measures. A company cannot treat conformance with the framework as a substitute for those laws or claim a government safety certification solely because it follows the guide. Teams can use the framework to build a lifecycle review: define the system and context, identify technical and application risks, assign controls and owners, test them, monitor changes, and record residual risk. Use version 2.0 for current framing, compare it with applicable mandatory requirements, and record which measures are guidance versus legal obligations.
Los daños catastróficos y cotidianos de la IA dependen de quién comprende los riesgos y quién puede actuar.
La alfabetización pública y profesional determina si es políticamente posible una política de seguridad sólida.
Las explicaciones claras reducen la captación por la exageración, las relaciones públicas de laboratorio y el vago teatro de ética.
TC260 continues to develop technical documents and national cybersecurity standards for AI. Framework version 2.0 is the current release identified by the committee’s September 2025 notice. Organizations should check the committee’s publication page for later revisions and related standards. Treat any future framework update as a prompt to reassess risk mapping, while independently tracking laws and mandatory standards that apply to the service. TC260 published Framework 2.0 in September 2025; later technical documents may add detail. Check the committee’s publication page for updates and verify the legal status of each related standard before treating it as mandatory.
An AI provider maps model security, data provenance, and user-impact risks in one lifecycle register.
A deployment team checks that prompts, retrieval, and connected services are included in release testing.
A compliance lead marks each control as statutory, mandatory-standard, or framework guidance.
An organization updates its risk register after TC260 releases version 2.0 instead of relying only on its 2024 version.
Tratar el riesgo existencial como ciencia ficción mientras que la capacidad se agrava.
Confundir la seguridad del producto superficial con la alineación en condiciones de alta autonomía.
Dejando a las audiencias que no hablan inglés ni a expertos solo con fuentes de baja calidad.
Separe los riesgos de daños al producto, mal uso y pérdida de control/desalineación.
Pregunte qué evidencia cambiaría su opinión sobre los plazos y la gravedad.
Prefiera fuentes primarias y evaluaciones concretas a afirmaciones de marketing.
Identifique un camino de acción: carrera, política, financiamiento o habilidades, no solo concientización.
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TC260’s AI Safety Governance Framework is a technical governance guide, not by itself a binding law or product certification. Version 2.0, released in September 2025, updates the earlier risk taxonomy and control guidance to reflect newer AI capabilities and deployment practices.
TC260’s 2025 notice says it released version 2.0 on 15 September 2025.
The framework guides governance; separate laws and standards determine binding duties.
The framework describes internal technical risks and risks across several application domains.
The lifecycle approach includes system and deployment components.
Those links make the lifecycle review actionable and auditable.
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