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A Secure Sandbox Environment For Orchestrating Medical Ai Agents Using Model Context Protocols And Role-based Access Control.

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A Secure Sandbox Environment For Orchestrating Medical Ai Agents Using Model Context Protocols And Role-based Access Control.

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A Secure Sandbox Environment for Orchestrating Medical AI Agents Using Model Context Protocols and Role-Based Access

Samuel E Armstrong¹, Mitchell A Klusty¹, W Vaiden Logan¹

¹Center For Applied Artificial Intelligence, University of Kentucky, Lexington, KY.

AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science

|June 19, 2026

View abstract on PubMed

Summary

This summary is machine-generated.

Astral provides a secure sandbox for experimenting with medical AI agents, addressing security and visual interaction needs in clinical settings. This platform ensures trustworthy AI through auditable logging and protection against attacks.

Related Experiment Videos

Area of Science:

Artificial Intelligence
Medical Informatics
Cybersecurity

Background:

Large Language Models (LLMs) are evolving into autonomous agents with healthcare potential.
Existing agentic systems lack security and visual components for clinical use.
A secure environment is needed for medical AI agent experimentation.

Purpose of the Study:

Introduce Astral, a secure sandbox for medical AI agents.
Enable controlled experimentation and evaluation of these agents.
Establish a foundation for trustworthy clinical AI.

Main Methods:

Utilized an Orchestrator-Specialist model for agent orchestration.
Implemented an auditable identity layer with OAuth 2.0 Token Exchange for accountability.

Developed a generative visual layer using WebSockets and Model Context Protocol for multimodal interaction.

Main Results:

Astral neutralizes Tool Poisoning Attacks in simulations.
Demonstrated improved transport performance within the sandbox.
Validated the secure orchestration and experimentation of medical AI agents.

Conclusions:

Astral offers a secure and functional environment for medical AI agents.
The platform enhances safety, accountability, and clinical workflow integration.
Provides a pragmatic foundation for trustworthy AI in healthcare settings.