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    Research & Publication

    WDTA Research

    & Publications

    Building a trusted digital future through safety, trust, and responsibility Connecting global research for innovation and governance

    Research

    Research & Publication

    Advancing Global Research and Standards for a Trusted Digital Future

    The World Digital Technology Academy (WDTA) advances cutting-edge research in digital technologies, focusing on key areas such as artificial intelligence, security and governance, data space, and digital identity. Its research drives innovation, standardization, and ethical practice, producing outcomes that include international standards, policy white papers, academic publications, and talent development frameworks, building a secure, trustworthy, and inclusive digital future through global collaboration.

    Research Center

    Research Focus Areas

    Key Domains of Investigation

    01
    Artificial Intelligence
    Empowering Human Potential
    02
    Data Space
    03
    Cloud Computing
    The Future's Foundation
    04
    Digital Identity
    05
    Quantum Computing
    06
    Metaverse

    Research

    Latest Research

    Exploring the frontier of new discoveries and insights

    Single AI Agent Runtime Security Testing Standards

    The "Single AI Agent Runtime Security Testing Standards" aim to establish a framework and methodology for evaluating the safety and security of single-agent systems during runtime. This standard seeks to provide organizations with a unified approach to identifying and mitigating risks, ensuring the safety, reliability, and controllability of intelligent agents in real-world applications.

    Generative AI Application Security Testing and Validation Standard

    This standard document provides a framework for testing and validating the security of Generative AI applications. The framework covers key areas across the AI application lifecycle, including Base Model Selection, Embedding and Vector Database in the Retrieve Augment Generation design patterns, Prompt Execution/Inference, Agentic Behaviors, Fine-Tuning, Response Handling, and AI Application Runtime Security.

    01 02

    Research

    Research Lifecycle

    Driving Innovation Through a Rigorous Research Process

    01. Proposal & Approval

    1-2months

    Submission-Review & Evaluation-Acceptance & Charter Approval

    02. Execution

    3-12months

    Project Planning-Call for Contributors-Content Development

    03. Peer Review

    1-3months

    Working Group - Advisory Council - Open Peer - Feedback Integration

    04.Publication & Dissemination

    1 months

    Production-Final Review & Approval-Publication-Communication Plan

    05. Awareness & Performance Evaluation

    Ongoing

    Promotion-Continued Distribution-Volunteer Recognition-Research Evaluation

    Research

    Collaboration & Innovation

    Building a global collaboration network to accelerate cutting-edge innovation.

    Strategic Partnership
    AI STR
    Developing Research Talent
    Core Pubilication

    Strategic Partnership

    We forge collaborative alliances with industry leaders and academic institutions to drive innovation.

    AI STR Certification Framework

    Trustworthy AI Through Implementation

    The AI STR Certification, developed by the World Digital Technology Academy (WDTA), evaluates how well an organization embeds Safety.

    Safety: AI systems are secure, stable, and resistant to misuse.

    Trust: Decisions are fair, transparent, and privacy-protected.

    Responsibility: AI follows ethical principles and serves social and environmental good.

    Bridging Talents, Skills, and the Digital Future

    Digital Talent Development Program

    A global platform for lifelong learning and capability development. It enables digital workers to showcase their talents, find personalized growth paths, and gain meaningful recognition.

    Pubilications

    Pubilications

    Advancing Knowledge Through Cutting-Edge Research and Innovative Discoveries

    Pubilications

    Digital Technology 360°

    WDTA’s new standard is part of its broader AI STR (Safety, Trust, Responsibility) certification suite. It provides a systematic approach for testing, validating, and certifying AI agent behavior.

    Two-layer testing framework:

    The standard combines Agent System Security Testing and Lifecycle Security Testing — evaluating not just the architecture (interface, model, tools, memory, and RAG systems), but also every phase from development to deployment and maintenance.

    Comprehensive threat modeling:

    It identifies and classifies risks unique to agentic AI, such as prompt injection, memory poisoning, RAG data leakage, model stealing, and backdoor attacks — going far beyond traditional software vulnerabilities.

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    Pubilications

    News

    Delivering timely updates on global research breakthroughs.