
Privacy · Public sample edition
Privacy in Converged Systems
Data Flows, Protective Decisions and Assurance
Prof. Dr. Vladimir Bunic
Cross-domain personal-data flows, lawful purpose, retention and breach coordination, with verified article attribution and issued DPP source references.
First published edition · Version 1.0 · 11 November 2026 · 21 pages
Inside the sample
Explanations, sources and exercises
- New inferences and accountable data flows
- Retention, lawful holds and restoration safeguards
- Separate operational and legal incident roles
- 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). Privacy in Converged Systems: Data Flows, Protective Decisions and Assurance. Public sample edition (v1.0). Global Converged Security Board. https://doi.org/10.5281/zenodo.24129173
- 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/gjeta.2026.29.1.0285
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.
