IAM systems are reaching their limits as autonomous agents execute transactions, chain decisions, and move across enterprise and partner boundaries at machine speed without clear attribution or governance. This creates structural failure, not incremental risk. Addressing it requires re-architecting IAM around agent identity, enabling ephemeral trust, verifiable delegation, and machine-native auditability across APIs, federation, and distributed environments.
John Tolbert, Director of Research and Principal Analyst at KuppingerCole Analysts will draw on his recent Leadership Compass reports on CIAM and B2B IAM to explore how AI agent interactions are reshaping both domains, highlight unresolved architectural gaps in current IAM platforms, and examine why existing delegation, audit, and licensing models fail under agent-driven workloads.
Ayesha Dissanayaka, Associate Director and Lead Architect for Agent Identity at WSO 2 will focus on the practical side of this transformation, addressing how to secure agentic workflows, implement identity for autonomous systems, and build scalable, governance-driven architectures that enable trusted machine-to-machine interactions across complex enterprise environments.
Who Should Attend
This webinar is intended for IAM architects, security leaders, and IT professionals who are confronting the limitations of current identity models in the face of AI-driven automation.
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