Data Sovereignty
Mar 30, 2026
Why Your AI Data Must Stay in Turkey: A Compliance and Infrastructure Guide for Enterprise Teams
Written by:
BaykAI Team
Every enterprise in Turkey is now asking the same question: Can we run AI on foreign infrastructure and stay compliant?
The short answer is: increasingly, no.
The longer answer involves KVKK, BDDK regulations, a draft AI law under parliamentary review, and a global shift in how governments treat data as a sovereign asset. This article breaks down what's happening, why it matters for your AI deployments, and what it means in practice when you're running LLMs on your infrastructure.
What "Data Sovereignty" Actually Means for AI
Data sovereignty is not just about where your data is stored. It encompasses three distinct layers:
Storage location — Where does the raw data physically reside?
Processing jurisdiction — Under whose laws is the data processed?
Access control — Who can legally compel access to that data?
Most enterprises focus only on the first layer. But when you run AI workloads — LLM inference, fine-tuning, RAG pipelines — your data is not just stored. It is processed, transformed, and used to generate outputs. Each of those steps creates jurisdictional exposure.
When you send prompts to a foreign-hosted LLM API, your data is processed under that country's legal framework. When you fine-tune a model on a US or EU cloud provider, your training data — which may contain customer records, financial transactions, or proprietary documents — crosses a border.
Under Turkish law, that creates real risk.
The Regulatory Reality in Turkey: KVKK, BDDK, and the AI Law Draft
KVKK (Law No. 6698) — Now More Strictly Enforced
Turkey's Personal Data Protection Law has been in effect since 2016, but 2024 and 2025 brought significant changes in both scope and enforcement posture.
The 2025 amendments introduced:
Broader data definitions: Biometric, genetic, and location data are now explicitly classified as sensitive
Stricter cross-border transfer rules: Organizations must now document adequacy decisions or execute Standard Contractual Clauses (SCCs) and notify the KVKK Authority within 5 business days
New data subject rights: Including data portability and the right to object to automated decisions
Mandatory Data Protection Officers (DPOs): Required for entities exceeding certain data processing thresholds
72-hour breach notification: Required to both the KVKK Authority and affected individuals
Critically, enforcement has intensified. In August 2024 alone, 16,350 organizations were investigated for non-compliance with VERBİS registration obligations, resulting in penalties totaling ₺503,935,000 (approximately €14 million). Both domestic and foreign data controllers were targeted — including public institutions.
Source: Prighter, "Türkiye's data protection landscape in 2025"
BDDK — Banking and Finance Sector Specifics
For financial institutions, the Banking Regulation and Supervision Agency (BDDK) has maintained a consistent position: control remains with the bank. This means audit trails, data traceability, and the ability to reverse decisions made by AI systems.
As one analysis of the Turkish banking sector noted, the trend is not a debate between "cloud vs on-prem" — it is a sovereignty-by-design approach, where the LLM runs behind the bank's firewall with a complete audit trail.
Source: CBOT.ai, "GenAI in Banking: It's Not the Model, It's Sovereignty"
The Draft AI Law — What's Coming
In June 2024, a draft Artificial Intelligence Law was submitted to the Turkish Parliament. It introduces:
Formal registration requirements for high-risk AI systems
Risk-based obligations aligned with the EU AI Act
Sanctions for non-compliant AI deployments
The law has not yet passed, but the direction is clear: Turkey is building a regulatory framework that treats AI as a high-risk activity requiring domestic oversight.
Source: Nemko Digital, "AI Regulation in Turkey: KVKK, Risk Tiers, EU Alignment"
The Global Context: Data Sovereignty Is a Worldwide Shift
Turkey is not acting in isolation. A global regulatory realignment is underway:
The EU Data Act (effective September 2025) extends sovereignty beyond personal data to industrial and non-personal data, prohibiting unlawful third-country access
The US CLOUD Act allows American authorities to compel disclosure of data held by US providers regardless of physical location — directly conflicting with sovereignty efforts in the EU and Turkey
Gartner forecasts that 75% of the world's population will operate under modern privacy regulation
71% of organizations cite cross-border data transfer compliance as their top regulatory challenge in 2025
Source: SecurePrivacy, "Data Privacy Trends 2026"
This means that choosing a US or EU cloud provider for your AI workloads does not just create a KVKK problem. It creates a structural exposure: that provider's home-country laws may compel access to your data without your knowledge or consent.
What This Means When You're Running LLMs
Let's make this concrete. Here are the specific AI workloads that create cross-border data exposure when run on foreign infrastructure:
Workload | Data Involved | Risk |
|---|---|---|
LLM Inference (API calls) | Prompts, context, documents | Processed under foreign jurisdiction |
Fine-Tuning | Training datasets (often proprietary or customer data) | Transferred and stored abroad |
RAG Pipelines | Indexed documents, embeddings | Processed and stored abroad |
Embedding Models | Document contents | Transferred for processing |
AI Agent Workflows | Multi-step reasoning with internal data | Full data exposure at each step |
Each of these workloads — when run on foreign infrastructure — potentially creates:
A cross-border data transfer requiring KVKK SCC documentation
Exposure to foreign government compelled access (US CLOUD Act)
An audit trail gap for regulated industries
The Practical Checklist: Is Your AI Deployment Compliant?
Before deploying any LLM-based system, your team should be able to answer:
[ ] Where is inference physically running? Which country's laws apply?
[ ] Is training data leaving Turkey? Under what legal basis?
[ ] Do you have SCCs in place for any cross-border transfers?
[ ] Is there a DPO overseeing your AI data processing?
[ ] Can you produce a complete audit trail for regulated processes?
[ ] Are your embedding stores and vector databases physically located in Turkey?
[ ] Is your fine-tuned model stored domestically?
If any of these answers is uncertain, your deployment likely has compliance gaps.
What Sovereign AI Infrastructure Looks Like in Practice
Running AI with full data sovereignty means every layer of your stack stays in Turkey:
Inference — Your API calls never leave Turkish borders. No data is processed under foreign jurisdiction.
Fine-tuning — Your training data is uploaded to and processed on GPU clusters physically located in Turkey. The resulting model weights stay in Turkey.
Embeddings and vector stores — Your document embeddings — which are derived representations of your proprietary content — are computed and stored domestically.
Deployment — Your production model endpoint runs on Turkish infrastructure, or on-premise within your own data center.
This is exactly the infrastructure model that BaykAI operates: NVIDIA B200, H100, and A100 GPU clusters, 100% physically located in Turkey, with full API compatibility and on-premise deployment options for organizations with the strictest data residency requirements.
Frequently Asked Questions
Can I use a foreign LLM API and still comply with KVKK?
It depends on what data you're sending. Sending anonymized, non-personal queries may be lower risk, but most real enterprise use cases involve customer data, internal documents, or financial records. In those cases, cross-border transfers require legal basis and SCC documentation. The enforcement trend in 2025 suggests this is being actively scrutinized.
Is on-premise the only fully compliant option?
Not necessarily. A domestic cloud provider — one whose infrastructure is physically located in Turkey and subject to Turkish law — can provide equivalent protection to on-premise deployment for most use cases. The key is jurisdictional clarity: the data must be processed under Turkish law, not foreign law.
What about the US CLOUD Act?
If your AI provider is incorporated in the United States, US authorities can compel disclosure of your data under the CLOUD Act, regardless of where the data is physically stored. This is a structural risk for any Turkish enterprise using US-based AI providers for sensitive data.
Does this apply to SaaS AI tools, not just infrastructure?
Yes. Any SaaS tool that processes your data using AI — including document summarizers, customer support AI, internal search tools — creates the same jurisdictional exposure if the AI processing happens outside Turkey.
The Bottom Line
The question is no longer whether Turkish enterprises should care about AI data sovereignty. Regulators have answered that question. The question is how to build AI infrastructure that is both capable and compliant.
That means:
Understanding where every AI workload runs and under whose laws
Documenting cross-border transfers with proper legal basis (or eliminating them)
Choosing infrastructure that gives you jurisdictional clarity, not just geographic proximity
Turkey now has domestic GPU infrastructure capable of running state-of-the-art LLMs, fine-tuning workloads, and enterprise AI pipelines — without data leaving the country.
The compliance risk of foreign AI infrastructure is no longer theoretical. The enforcement data makes that clear.
Sources
Prighter — Türkiye's data protection landscape in 2025
Nemko Digital — AI Regulation in Turkey: KVKK, Risk Tiers, EU Alignment
CookieYes — Guide to Turkey Personal Data Protection Law (KVKK)
Alfalaw — KVKK 2025 Updates: A Compliance Guide for Companies
Alfalaw — Navigating the KVKK 2026 Draft Amendment
SecurePrivacy — Data Privacy Trends 2026
CBOT.ai — GenAI in Banking: It's Not the Model, It's Sovereignty
Anadolu Agency — Türkiye to create sovereign artificial intelligence infrastructure
BaykAI provides enterprise-grade LLM inference, fine-tuning, and GPU infrastructure — 100% located in Turkey.
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