PROGRAM & INITIATIVES
AI STR
Artificial Intelligence Safety, Trust & Responsibility
AI STR is a global framework for AI safety, trust & responsibility, initiated by WDTA. It is designed to guide governments, industry, research institutions, and end-users in technical practices, evaluation standards, and open collaboration across the entire AI lifecycle.
Through an integrated approach of Open Labs + Standards System + Capability Certification + Application Demonstration, AI STR provides a practical, testable, verifiable, and deployable capability system that supports the worldwide development of AI.
What Comprises AI STR?
AI STR advances the safe, trustworthy, and responsible development of AI through its six key pillars:
Assessment & Certification
Offers testing and certification to verify AI system compliance and reliability.
PROGRAM & INITIATIVES
AI STR Certification
Artificial Intelligence Safety, Trust & Responsibility
AI Application
Evaluating and validating the performance of generative artificial intelligence (GenAI) applications in terms of safety, trust, and accountability
Large Language Model
Establish rigorous security standards and evaluation procedures to ensure large language models resist adversarial attacks, reduce risks, and promote responsible use.
AI Agent
The types of agent risks were further categorized, and testing methods such as model inspection, network communication analysis, and tool fuzz testing were improved and innovatively proposed.
PROGRAM & INITIATIVES
Why Obtain AI STR Certification
Obtaining AI STR certification is not only a reflection of technical capability but also a key initiative for enterprises to build a trusted brand in the global market.
PROGRAM & INITIATIVES
Industry Support
Collaborating for Collective Success
I believe that artificial intelligence has the potential to do great good, but it can also cause harm. This is the crucial moment for us to run experiments to better understand AI and to pass laws that ensure the technology is used ethically.
Verification is not just a technical issue, it's a global challenge that needs global cooperation. An international verification framework can build trust between nations, deter dangerous competition, and ensure the benefits of AI are distributed more equitably.
The AI STR certification demonstrates that our ecosystem's AI capabilities are not only technologically innovative, but also integrate safety, reliability, and controllability throughout the product development process. I am glad we've been able to balance risk prevention, user experience, and cost in a real-world product that serves millions of users.
PROGRAM & INITIATIVES
Publication
Research. Analysis. Insight
Generative AI Application Security Testing and Validation Standard
Large Language Model Security Testing Method
Large Language Model Security Requirements for Supply Chain
Single AI Agent Runtime Security Testing Standards
PROGRAM & INITIATIVES
Resources Hub
Central Library for AI STR Resources
At a “Global Consultation on the Social Aspects of Digital Technologies and AI” , WDTA unveiled its new AI STR Series: Single AI Agent Runtime Security Testing Standards.
The 3rd Global AI Action Summit 2025 (hosted by the French government, co-organized by the Indian government) has held in Paris on February 10-11, 2025, with nearly 100 countries’ leaders agreeing on AI’s secure development.
The event focused on the pressing issue of creating a global digital identity framework in the context of the rapid development of artificial intelligence (AI).