At Cashcrown, we implement this layer as an integral part of every AI solution, not an add-on. Sensitive data is masked or pseudonymized before reaching the model; GDPR and AI Act compliance is factored into architecture design, not addressed at delivery. Actions with legal consequences or irreversible outcomes require human oversight—this is a hard boundary we do not automate.
cashcrown // ai.infra
GDPR & security layer
compliance by design.
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Problem
You need “GDPR & security layer”, but building it in-house gets stuck on integrations, maintenance and lack of time — and the result tends to be fragile and hard to scale.
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What we build
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Process
- Sizing and cost
Choosing models and hardware to fit real load and budget.
- On-prem deployment
LLM serving + embeddings, fronted by a router/gateway.
- RAG over knowledge
Document indexing, semantic search, answers with citations.
- Hardening
Observability, backups, network isolation, cost control.
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Stack
self-hosted LLMOllamavLLMBGE-M3QdrantNSSM / systemd
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Related
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FAQ
How much does this service cost, and when does it pay off?#
We work within scope-based tiers; we start with a limited pilot so you can see the value before a larger investment. When the service eliminates the risk of costly GDPR incidents or enables AI processes that were previously blocked, it pays off quickly. You can calculate the exact ROI in the ROI calculator; we don’t provide upfront pricing because it depends on the actual scope.
Does it integrate with our systems and comply with GDPR?#
Yes. PII masking and guardrails are implemented regardless of whether you use a local or cloud-based model. Where a DPIA is required, we help gather data for its execution; the assessment itself is signed off by your designated person. GDPR and AI Act compliance is designed from the start, not retrofitted.
Where do we begin?#
With an audit of data flows and identification of points where PII interacts with the model. Then, a pilot on a single, narrow scope with measurable results: we demonstrate working protection before asking for trust in a broader deployment. More on the approach: how to choose your first process.