paperMay 2025Unreviewed

A Novel Zero-Trust Identity Framework for Agentic AI: Decentralized Authentication and Fine-Grained Access Control

Ken Huang, Vineeth Sai Narajala, J. Yeoh, Ramesh Raskar, Youssef Harkati, Jerry Huang, I. Habler, Chris Hughes

2026 International Conference on AI x Data and Knowledge Engineering (AIxDKE)

Abstract

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.This paper posits the imperative for a novel Agentic AI - IA

Cite

@inproceedings{huang2025novel,
  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 J. Yeoh and Ramesh Raskar and Youssef Harkati and Jerry Huang and I. Habler and Chris Hughes},
  year = {2025},
  month = may,
  booktitle = {2026 International Conference on AI x Data and Knowledge Engineering (AIxDKE)},
  eprint = {2505.19301},
  archivePrefix = {arXiv},
  doi = {10.1109/AIxDKE67294.2026.00024},
  url = {https://www.semanticscholar.org/paper/2bbf1fc0d7bce53edbfcaeb81143c1233c074923}
}