
AI infrastructure · Public sample edition
Governing AI-Driven Infrastructure
Telemetry, Autonomy and Systemic Assurance
Prof. Dr. Vladimir Bunic
Model provenance, telemetry integrity, bounded autonomy and systemic assurance, distinguished from the source article’s conceptual research findings.
First published edition · Version 1.0 · 11 November 2026 · 21 pages
Inside the sample
Explanations, sources and exercises
- Provenance, drift and task-specific model validation
- Authorised automation and human oversight
- Systemic dependencies and defined measurement
- Eight explanatory readings and exact standard, procedure and playbook crosswalks
- Three fictional reflection exercises and references to 30 issued sources
This secondary educational companion does not replace the issued standards, mandatory procedures or advisory playbooks. It is not a peer-reviewed Journal article. The complete training scenarios, worked solutions and instructor guidance are not included.
Read the issued frameworkPublication details
Citation and rights
Bunic, V. (2026). Governing AI-Driven Infrastructure: Telemetry, Autonomy and Systemic Assurance. Public sample edition (v1.0). Global Converged Security Board. https://doi.org/10.5281/zenodo.24129171
- Publisher, owner and distributor
- Global Converged Security Board
- Copyright
- © 2026 Global Converged Security Board. All rights reserved.
- Author ORCID
- 0009-0006-6209-629X
- Primary research article
- 10.30574/ijsra.2026.21.1.1877
Public availability does not grant an open reuse licence. Except as permitted by applicable law, reproduction, redistribution and adaptation require prior written permission. The Journal's CC BY 4.0 article licence does not apply.
