AI agents increasingly act on users’ behalf, yet their decisions often lack clear authority, control, and transparency, intensifying an already fragile state of digital trust. To close this gap, identity architecture must evolve. An Agentic Identity Framework, supported by CIAM platforms like Auth0, enforces explicit delegation, limits agent privileges, and creates auditable, user-aligned decision paths that keep AI activity accountable.
John Tolbert, Director of Research at KuppingerCole Analysts, will analyze how AI agents disrupt traditional identity assumptions and where existing controls fall short. He will provide background on where and how AI agents are being used in the consumer and B2B ecosystems, describe the risks of unmanaged autonomy and the architectural principles necessary to reestablish accountability, transparency, and policy-driven boundaries for agent behavior, and discuss the current and in-work standards that are being used to promote trust with agentic AI.
Michael Pattison, Senior Solutions Engineer at Auth0, will demonstrate how the Auth0 platform enables secure adoption of AI agents. He will show how to operationalize authentication, RAG-driven authorization, delegated API access, and human-in-the-loop verification. Michael will present practical CIAM patterns that reduce friction, block modern identity threats, and create transparent, trustworthy AI-enhanced customer journeys.
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