Compliance as an
engineering discipline.
GDPR, EU AI Act, data residency — built into the architecture from day one, not bolted on after launch.
We don't treat compliance as a checkbox. We treat it as architecture.
Most engineering teams bolt compliance on at the end — scrambling to retrofit consent flows, anonymize data pipelines, and produce documentation weeks before a deadline. That approach is expensive, fragile, and rarely complete.
At HASORIX, regulatory requirements are inputs to system design, not afterthoughts. We classify data flows before writing the first line of code, architect for data residency from the infrastructure layer, and build audit trails into every pipeline.
The result: systems that are compliant by construction, not by patch.
Six pillars of compliant engineering.
Every system we build addresses these domains — tailored to your regulatory landscape.
Data minimization, purpose limitation, consent management, and right-to-erasure flows built into the data layer — not sprinkled on top. Privacy by design, privacy by default.
Risk classification of AI systems, Article 50 transparency obligations, AI-generated content marking, and human oversight mechanisms — ready for August 2026 enforcement.
EU-hosted infrastructure on AWS Frankfurt (eu-central-1), Azure Netherlands (westeurope), or GCP Belgium (europe-west1). Data never leaves the jurisdictions you specify.
End-to-end encryption at rest and in transit, role-based access control, audit logging for every data access event, and key management aligned with your security posture.
Data protection impact assessments (DPIAs), data flow diagrams, processing activity records, and AI system cards — the documentation your DPO and auditors actually need.
PII anonymization before LLM calls, zero-retention API configurations, on-premise model deployment options, and prompt injection safeguards — AI that respects data boundaries.
Four steps to compliant systems.
Map every data flow, identify personal data categories, determine lawful bases for processing, and classify AI system risk levels under the EU AI Act.
Design system architecture with compliance requirements as first-class constraints — data residency, consent flows, retention policies, and audit trails baked in.
Implement with automated compliance checks in CI/CD — data flow validation, encryption verification, access control testing, and consent workflow testing.
Deliver complete compliance documentation — DPIAs, data flow diagrams, AI system cards, and processing records — ready for your DPO and auditors.
The numbers that matter.
Go deeper.
Read our analysis on building compliant AI systems in Europe.
Practical engineering patterns for building GDPR-compliant generative AI systems — from data pipelines to LLM integration.
How we handle your data — our own GDPR-compliant data processing practices, retention policies, and your rights.
Ready to build
compliant AI?
Tell us about your regulatory requirements. We'll architect a system that satisfies them by design.