containmentos.com

Safety, Security & Runtime Controls

ContainmentOS

Semi-permeable virtual sandbox environment that strictly isolates unverified agents and prevents systemic capabilities from spilling into the real economy.

Three Pillars

Why This Becomes Necessary

Deploying unverified agents directly into live systems risks runaway collective behaviors; a governed sandbox lets researchers observe unexpected emergent dynamics without real-world consequences.

What a Solution Must Provide

Strong containment requires namespace isolation, capability whitelists, network segmentation, controlled permeability boundaries, and schedulers that can quarantine suspect agents without collapsing the wider environment.

Regulatory & Standards Angle

Risk management obligations under high-risk AI regulation are more credible when containment environments continuously enforce measurable isolation and provide verifiable evidence of safety testing.

Related Primitives

Parent Hub

toolpolicy.com

Tool permission policy and runtime safety controls for AI agents

Cross-Cluster Context

audit

auditstack.org

Audit trails and compliance verification for agent operations
Relevant: EU AI Act Article 9 - Article 9 on risk management systems supports sandbox-based testing and containment as a risk mitigation measure for high-risk AI. Source
Research: Distributional AGI Safety — Nenad Tomašev, Matija Franklin, Julian Jacobs, Sébastien Krier, Simon Osindero. Google DeepMind, 2025.
“This framework centers on the design and implementation of virtual agentic sandbox economies (impermeable or semi-permeable), where agent-to-agent transactions are governed by robust market mechanisms, coupled with appropriate auditability, reputation management, and oversight to mitigate collective risks.”
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