AI Privacy & Compliance Consulting
Design and implement query-time privacy frameworks and governance for LLM applications — semantic generalization, data minimization, and GDPR / EU AI Act compliant AI pipelines.
Service Overview
Most "AI compliance" advice stops at policy documents. This is engineering-level privacy work: query-time semantic generalization, data minimization built into the pipeline itself, and GDPR / EU AI Act-aligned architecture that doesn't gut your model's usefulness to hit a compliance checkbox.
What's Included
- privacy-architecture audit
- query-time generalization design
- data minimization implementation
- GDPR & EU AI Act alignment documentation
- and a defensible technical rationale you can hand to legal or a client's security team.
Tools & Technologies
Frequently Asked Questions
Is this the same as data anonymization?
No — traditional anonymization strips fields before storage. This addresses privacy leakage at inference time, which is where most LLM privacy failures actually happen.
Do you work with teams outside the EU on GDPR-adjacent work?
Yes — most engagements are for teams in the US, UK, and APAC selling into EU/UK markets regardless of where they're based.
What's a realistic timeline for a privacy audit?
Initial audit and architecture recommendation typically runs 1–2 weeks; implementation scope depends on your existing pipeline.
Who is this for?
- You're shipping an LLM or autonomous agent product handling personal or regulated data and need a defensible privacy architecture, not just a policy PDF
- You've been told "just redact the PII" and know that's not a real answer for semantic leakage in agent workflows
- You need an AI governance framework that survives an EU AI Act, GDPR, or corporate security compliance review