Who Owns This Agent? Tracing AI Agents Back to Their Owners
A new study addresses the challenge of tracing AI agents back to their owners. The research highlights the accountability gap that exists when harmful agents are deployed, whether intentionally or unintentionally. The authors propose a canary-based protocol to improve agent attribution and enhance accountability for AI interactions.
- ▪AI agents are increasingly used autonomously, but tracing harmful agents back to their deployers remains unreliable.
- ▪The study formalizes the problem of agent attribution and presents a practical solution using canary-based protocols.
- ▪The proposed method is designed to be reliable, robust, and scalable for vendor-side deployment.
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Computer Science > Cryptography and Security arXiv:2605.16035 (cs) [Submitted on 15 May 2026] Title:Who Owns This Agent? Tracing AI Agents Back to Their Owners Authors:Ruben Chocron, Doron Jonathan Ben Chayim, Eyal Lenga, Gilad Gressel, Alina Oprea, Yisroel Mirsky View a PDF of the paper titled Who Owns This Agent? Tracing AI Agents Back to Their Owners, by Ruben Chocron and 5 other authors View PDF HTML (experimental) Abstract:AI agents are increasingly deployed to act autonomously in the world, yet there is still no reliable way to trace a harmful agent back to the account that deployed it.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at arXiv.org.
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