Compliance built into the architecture, not bolted on after.
You need to show where the data sits and which regulation the design answers to. We build those controls into the architecture and document them in writing, so the evidence is ready before an auditor asks.
Where your data sits
Pavicore designs and runs Azure workloads in the region you are bound to. For German engagements that is the Germany West Central Azure region, configured as a sovereign landing zone.
During an assessment we work inside your tenant with read-only access, scoped to the project and revoked on completion. No data is copied out of your environment.
GDPR posture and data handling
We name the regulation the design answers to. GDPR Article 44 restrictions on transfers to third countries are addressed in the architecture, not noted in a policy appendix.
Processing stays in-region, access is least-privilege, and each control maps to a specific requirement rather than a general aspiration.
NIS2 and BSI IT-Grundschutz
NIS2 brings many operators into scope for the first time, with reporting deadlines that assume the logging is already in place. We design the detection and response path in Azure to those deadlines: a 24-hour early warning and a 72-hour incident notification, each backed by the audit trail that evidences it.
For German engagements we map the Azure security baseline to BSI IT-Grundschutz building blocks. Each control ties to a specific building block, so the environment traces to the standard your auditor already uses, and the mapping ships as a document you can hand over.
Data processing agreements
We sign your data processing agreement before a project starts. Where the work relies on sub-processors, the chain is documented and shared, so your records are complete from the first day.
EU AI Act positioning
For AI systems we start from classification. We map each system to its EU AI Act risk category before design, then build the obligations that category carries into delivery.
In practice that means Annex IV technical documentation produced as an engineering deliverable. The risk classification is recorded and post-market monitoring is designed in, not written up as a template at the end.
The credentials behind the claims
AI governance here draws on the AB-731 AI Transformation Leader and AI-102 Azure AI Engineer certifications. Cloud security is held to AZ-500, and the Azure architecture to AZ-305.
The formal backing
The binding detail lives in our legal pages. The Datenschutzerklärung sets out how we process personal data. The Impressum identifies the entity.
Do you have a specific compliance requirement?
Name the regulation or the standard. We will tell you how the architecture answers it.