Overlaying Governance: A Compositional Authorization Framework for Delegation and Scope in Agentic AI

📰 ArXiv cs.AI

Learn to implement a compositional authorization framework for delegation and scope in agentic AI to ensure secure and governed autonomous systems

advanced Published 3 Jun 2026

Action Steps

Define the authorization semantics for agentic AI systems using compositional frameworks
Implement delegation protocols for agents to inherit and delegate permissions
Configure scope-based access control for autonomous agents
Test the authorization framework for secure and governed delegation
Apply the framework to real-world agentic AI systems for validation

Who Needs to Know This

AI engineers and researchers working on agentic AI systems can benefit from this framework to ensure secure delegation and governance of autonomous agents

Key Insight

💡 Compositional authorization frameworks can provide richer semantics for governing agentic AI systems

Key Takeaways

Learn to implement a compositional authorization framework for delegation and scope in agentic AI to ensure secure and governed autonomous systems

Full Article

Title: Overlaying Governance: A Compositional Authorization Framework for Delegation and Scope in Agentic AI

Abstract:
arXiv:2606.03518v1 Announce Type: new Abstract: As AI systems evolve from passive models into autonomous active agents capable of initiating actions, collaborating, and delegating tasks, the traditional boundaries of software systems blur. Traditional authorization and delegation frameworks, built around fixed principals, explicit requests, and static scopes, are insufficient to govern agentic systems. Agentic AI demands richer authorization semantics: agents must inherit and delegate permission

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