AI Agents, Synthetic Identity & Agent Identification
Combined Session
Thursday, May 21, 2026 14:30—15:30
Location: B 05
Thursday, May 21, 2026 14:30—15:30
Location: B 05
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AI agents are rapidly becoming first-class digital actors, performing tasks, making decisions, and interacting autonomously across systems. This panel examines why these agents now require identity, trust, and accountability frameworks comparable to human users. Experts will explore emerging models for agent authentication, detecting synthetic identities, and governing autonomous behaviors across complex ecosystems. Attendees will gain clarity on the risks and opportunities of agent-driven interactions, learn how to prepare their IAM architecture for AI-native actors, and understand what trust and control must look like in an autonomous future.
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The promise of AI has always been that of improved production, higher efficiency, and in a Utopian world - people not needing to work at all. But just like any other technology being rushed into products, it is not fully mature (both feature- and security-wise), which turns it into a playground for hackers. When strong models are available to attackers, the scale of the threat becomes unbelievably huge. What used to take hours or days to find manually, agents now handle overnight with the exploit ready by morning.
We need to change the way we treat AI, how we operate it, and what guardrails are required for it to be trusted (sort of). Analyzing the inherent problems in AI services, we can produce principles that will guide us in this faster-changing-than-ever landscape.
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