SCNET · Enterprise IT · Ankara, Türkiye
Data sovereignty is the practice of controlling data ownership, access, encryption keys, transfers, operating authority, lifecycle, and AI use together, beyond the choice of where data is hosted. Sanal Çekirdek turns these decisions into a concrete architecture and responsibility model.
We map where data is held, where it originates, who receives it and which process uses it. Classification then guides hosting, encryption, access, retention and deletion decisions.
On-premises, private cloud and controlled hosting options are assessed according to workload and data class. Management planes, access, logging, backup and supplier responsibilities are separated according to the required control level.
The architecture makes it clear where the model runs, which data it can access, how prompts and responses are logged, whether data is reused for training and which party holds operating privileges. Open or proprietary model choices are assessed against these control objectives.
Technical controls must be supported by operating evidence such as policy, roles, records, reviews and breach response. Responsibilities across the customer, Sanal Çekirdek, facility and technology provider are clarified, while legal conclusions remain with qualified legal and compliance advisers.
No. Localization focuses on geographic location. Sovereignty also covers access, jurisdiction, encryption keys, operating authority, transfer, lifecycle and technology dependency.
No. Private cloud can narrow the control boundary, but poor access, incomplete logging, weak process or inappropriate use may remain. Compliance depends on technical and organizational measures operating together.
We design technical and operational controls and help make data flows and evidence visible. Formal legal interpretation and compliance opinions must be provided by the customer's qualified legal and compliance advisers.
Yes, where data class and control requirements permit it. Region, service terms, administrative access, key model, subprocessors and data flows are reviewed to determine suitable workloads.
Turn the data inventory into an architecture decision tool, not a compliance spreadsheet.
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