ACC: Agent Capability Control v1.0.0 - Declarative Authorization for Autonomous AI

Agent Capability Control (ACC) is a declarative authorization framework for AI agent ecosystems. It provides three-layer security through RBAC.md (role-based permissions), SOUL.md (behavioral constraints), and SKILL.md (per-skill capability grants). Key innovations include monotonic attenuation (sub-agents can only receive subsets of parent permissions) and Delegation Capability Tokens (DCTs) for cryptographic permission transfer. ACC integrates with FDAA (File-Driven Agent Architecture) to provide provable, auditable agent authorization.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-18
DOI
https://doi.org/10.5281/zenodo.18676278
Primary Topic
Access Control and Trust
Type
article
Field-Weighted Citation Impact
0.00
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article

ACC: Agent Capability Control v1.0.0 - Declarative Authorization for Autonomous AI

Ada, Rudi Heydra
Zenodo (CERN European Organization for Nuclear Research)
Access Control and Trust
article

ACC: Agent Capability Control v1.0.0 - Declarative Authorization for Autonomous AI

Ada, Rudi Heydra
article en

Abstract

Agent Capability Control (ACC) is a declarative authorization framework for AI agent ecosystems. It provides three-layer security through RBAC.md (role-based permissions), SOUL.md (behavioral constraints), and SKILL.md (per-skill capability grants). Key innovations include monotonic attenuation (sub-agents can only receive subsets of parent permissions) and Delegation Capability Tokens (DCTs) for cryptographic permission transfer. ACC integrates with FDAA (File-Driven Agent Architecture) to provide provable, auditable agent authorization.

Zenodo (CERN European Organization for Nuclear Research)
F5 Networks (United States) (US)
Life in Land
Openalex Percentile: Top 57%
Access Control and Trust
DOIOpen Access PDFOpenAlex
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ACC: Agent Capability Control v1.0.0 - Declarative Authorization for Autonomous AI — Ada, Rudi Heydra · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS