arXiv AI June 19, 2026 By Anupam Joshi, Tim Finin, Karuna Pande Joshi, Lalana Kagal

Deontic Policies for Runtime Governance of Agentic AI Systems

arXiv:2606. 19464v1 Announce Type: new Abstract: Autonomous agentic AI systems driven by Large Language Models (LLMs) introduce a new class of security, privacy, and compliance challenges: an agent that can invoke tools, manipulate data, install software, and coordinate with peer agents across organizational boundaries must be constrained not just by authentication and access control, but by the full structure of enterprise governance.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv AI.

arXiv AI

Jun 11

A Five-Plane Reference Architecture for Runtime Governance of Production AI Agents

arXiv:2606. 12320v1 Announce Type: new Abstract: Enterprise security was built to govern data boundaries: the protected surface was data at rest and in transit, and the controls -- access control, data-loss prevention, perimeter inspection -- governed crossings of that boundary.

By Krti Tallam

agents benchmarks

arXiv AI

Jun 3

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

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.

By Amjad Ibrahim, Yong Li

agents

arXiv AI

Jul 3

Behavioral Governance for Autonomous AI Agents: The AgentBound Framework

arXiv:2606. 30970v2 Announce Type: replace Abstract: Autonomous AI agents increasingly perform consequential actions on behalf of human principals, including financial transactions, external communications, and enterprise workflows.

By Anuj Kaul, Qianlong Lan, Pranay Gupta

agents benchmarks safety

arXiv AI

Jul 1

AgentBound: Verifiable Behavioral Governance for Autonomous AI Agents

arXiv:2606. 30970v1 Announce Type: new Abstract: Autonomous AI agents increasingly perform consequential actions on behalf of human principals, including financial transactions, external communications, and enterprise workflows.

By Anuj Kaul, Qianlong Lan, Pranay Gupta

agents benchmarks safety

arXiv AI

Jun 4

Proof-Carrying Agent Actions: Model-Agnostic Runtime Governance for Heterogeneous Agent Systems

arXiv:2606. 04104v1 Announce Type: cross Abstract: Agent systems execute through runtimes with very different control points: local coding tools, framework SDKs, managed agent platforms, API gateways, and observer-only integrations.

By Zexun Wang

agents benchmarks

arXiv AI

Jun 2

Agent Operating Systems (AOS): Integrating Agentic Control Planes into, and Beyond, Traditional Operating Systems

arXiv:2606. 01508v1 Announce Type: cross Abstract: Traditional operating systems were designed around deterministic programs, explicit control flow, and human initiated workflows.

By Ankur Sharma, Deep Shah

agents safety

Related stories

A Five-Plane Reference Architecture for Runtime Governance of Production AI Agents

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

Behavioral Governance for Autonomous AI Agents: The AgentBound Framework

AgentBound: Verifiable Behavioral Governance for Autonomous AI Agents

Proof-Carrying Agent Actions: Model-Agnostic Runtime Governance for Heterogeneous Agent Systems

Agent Operating Systems (AOS): Integrating Agentic Control Planes into, and Beyond, Traditional Operating Systems