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Room S
Workshop
In person
LeadersGoldDiscovery

Designing the trust management for Agentic AI

    • Date
    9 July 2026
    Timeframe
    09:00 - 13:05 CEST
    Duration
    4h 5 minutes
      What happens when AI can act on its own, and how can we secure it?
      This workshop examines the growing security and privacy challenges associated with Agentic AI, with a focus on practical, standards driven responses. Participants will explore how industry security mechanisms and protocols can be applied within Agentic AI systems, alongside approaches to risk management and threat mitigation. The session will highlight the importance of standardization and regulatory alignment in strengthening trust and resilience across AI deployments. It will also identify priorities for future research and real world implementation. It will showcase the contributions of ITU’s Study Group 17 to AI security standardization and generate concrete inputs for the AI for Good plenary, helping shape key security recommendations for the evolving Agentic AI landscape.
      Schedule

      This session will set the stage by summarizing SG17’s progress over the past six months, and incorporate insights from ITU-T other SGs and other SDOs on AI security and trust.

      Presentation

       

      Speaker(s)

      This session will discuss practical defence and assurance mechanisms to address Session 1 challenges, and explore current efficacy and potential improvements in technical trust solutions.

      Presentations:

      Guangming Liu

      Li Li

       

      Panelists:
      Moderator(s):

      This session will present frameworks, capabilities, and metrics for evaluating trustworthiness in agentic AI systems, and discuss approaches for actionable, measurable trust assessment tailored to agentic AI’s unique capabilities.

      Presentations:

      Naying Hu

      Yuntao Wang

      Henk Birkholz

      Pam Dixon

      Panelists:
      Moderator(s):
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