Securing the Agent: Vendor-Neutral, Multitenant Enterprise Retrieval and Tool Use

Abstract

Retrieval-Augmented Generation (RAG) and agentic AI systems are increasingly prevalent in enterprise AI deployments. However, real enterprise environments introduce challenges largely absent from academic treatments and consumer-facing APIs: multiple tenants with heterogeneous data, strict access-control requirements, regulatory compliance, and cost pressures that demand shared infrastructure. A fundamental problem underlies existing RAG architectures in these settings: retrieval systems rank do

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@misc{arceo2026securing,
  title = {{Securing the Agent: Vendor-Neutral, Multitenant Enterprise Retrieval and Tool Use}},
  author = {Francisco Javier Arceo and Varsha Prasad Narsing},
  year = {2026},
  month = may,
  eprint = {2605.05287},
  archivePrefix = {arXiv},
  doi = {10.1145/3786335.3813145},
  url = {https://arxiv.org/abs/2605.05287}
}