Room V
Workshop
In person
LeadersGoldDiscovery

Designing the trust management for Agentic AI

  • Date
    9 July 2026
    Timeframe
    09:00 - 12:15 CEST
    Duration
    3h 15 minutes
    • Days
      Hours
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      Sec
    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.

    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.

    This session will define future pathways for advancing trust management in agentic AI, and highlight prospects for collaboration among standards organizations and stakeholders.

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