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Octopus Research Institute
Technical reportPeer review: Not peer reviewedStatus: Released

A Single Execution Boundary for Governed AI Agents: A Technical Report

Octopus Research Institute

This is not peer-reviewed. Treat it as a working document, not a validated result.

Abstract

We describe a design in which all consequential actions taken by an AI agent are routed through one policy-enforcing execution boundary, with human approval required for irreversible actions and evidence captured for audit and rollback. This report documents the design and internal, scenario-based observations. It is not peer reviewed and makes no benchmark or safety-guarantee claims.

Keywords

  • agent governance
  • human-in-the-loop
  • auditability
  • rollback

Authors

  • Octopus Research Institute — Conceptualisation, Writing

Cite this

Citation

Octopus Research Institute. (2026). A Single Execution Boundary for Governed AI Agents: A Technical Report (v1.0). Octopus Research Institute.

BibTeX

@techreport{ori2026governedboundary,
  title       = {A Single Execution Boundary for Governed AI Agents: A Technical Report},
  author      = {{Octopus Research Institute}},
  institution = {Octopus Research Institute},
  year        = {2026},
  note        = {Version 1.0. Not peer reviewed.}
}

Disclosures

Funding
Infrastructure and engineering support provided by Octopus Core Pty Ltd.
Conflicts of interest
Octopus Core develops commercial governance products; this report is independent of that interest.

Version history

  • v1.0 · 2026-06-01

    Initial release.