Decentralized Granular Access Control for Agentic AI Systems in Critical Infrastructure
3.60T1 sourcearXiv cs.MA
Source record
Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2607.22611.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryA research paper presenting a decentralized, multi-layered access control architecture for autonomous AI agents in critical cloud infrastructure. The system includes compound identity binding, hierarchical permissions across five granularity levels, decentralized policy ownership, and progressive trust escalation. Deployed in production managing 20+ AI agents and 60+ playbooks across hundreds of datacenters, reporting zero unauthorized writes over eight months.
Why it mattersProduction access-control architecture for agentic AI with 8 months of empirical data and concrete metrics. The four innovations and OWASP-grounded threat model offer a reference for teams deploying agents in critical systems.
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