Agent Capability Control (ACC): Capability-Based Security for Autonomous AI Agents

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Autor principal: Substr8 Labs
Formato: Recurso digital
Publicado: Zenodo 2026
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author Substr8 Labs
author_facet Substr8 Labs
contents This paper introduces Agent Capability Control (ACC), a capability-based authorization framework for autonomous AI agent ecosystems. ACC ensures that skills declare required permissions, agents declare granted capabilities, sub-agents receive attenuated permissions through monotonic reduction, and every authorization decision is auditable. Key contributions include capability tokens with cryptographic binding, hierarchical attenuation ensuring sub-agents never exceed parent permissions, and integration with FDAA, GAM, and DCT.
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_18704577
institution Zenodo
language
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle Agent Capability Control (ACC): Capability-Based Security for Autonomous AI Agents
Substr8 Labs
AI agents
capability-based security
authorization
agent permissions
access control
This paper introduces Agent Capability Control (ACC), a capability-based authorization framework for autonomous AI agent ecosystems. ACC ensures that skills declare required permissions, agents declare granted capabilities, sub-agents receive attenuated permissions through monotonic reduction, and every authorization decision is auditable. Key contributions include capability tokens with cryptographic binding, hierarchical attenuation ensuring sub-agents never exceed parent permissions, and integration with FDAA, GAM, and DCT.
title Agent Capability Control (ACC): Capability-Based Security for Autonomous AI Agents
topic AI agents
capability-based security
authorization
agent permissions
access control
url https://doi.org/10.5281/zenodo.18704577