AI Identity: Standards, Gaps, and Research Directions for AI Agents
AI agents are now running real transactions, workflows, and sub-agent chains across organizational boundaries without continuous human supervision. This creates a problem no current infrastructure is equipped to solve: how do you identify, verify, and hold accountable an entity with no body, no persistent memory, and no legal standing? We define AI Identity as the continuous relationship between what an AI agent is declared to be and what it is observed to do, bounded by the confidence that those two things correspond at any given moment. Through a structured survey of industry trends, emerging standards, and technical literature, we conduct a gap analysis across the full agent identity l...
| Authors | Takumi Otsuka, Kentaroh Toyoda, Alex Leung |
|---|---|
| Primary category | cs.AI |
| Published | 25 April 2026 |
| Last updated at source | 25 April 2026 |
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