Traditional Identity and Access Management (IAM) systems, primarily designed for human users or static machine identities via protocols such as OAuth, OpenID Connect (OIDC), and SAML, prove fundamentally inadequate for the dynamic, interdependent, and often ephemeral nature of AI agents operating at scale within Multi Agent Systems (MAS), a computational system composed of multiple interacting intelligent agents that work collectively.
View on arXiv@article{huang2025_2505.19301,
title={ A Novel Zero-Trust Identity Framework for Agentic AI: Decentralized Authentication and Fine-Grained Access Control },
author={ Ken Huang and Vineeth Sai Narajala and John Yeoh and Jason Ross and Ramesh Raskar and Youssef Harkati and Jerry Huang and Idan Habler and Chris Hughes },
journal={arXiv preprint arXiv:2505.19301},
year={ 2025 }
}