Data Privacy and AI Governance
Best practices for building AI systems that prioritize user privacy and comply with global regulations.
Data privacy is the single biggest barrier to AI adoption in regulated industries. To build trust, you must treat user data with the same level of care as financial transaction records.
PII Scrubbing Pipelines
Before any data enters your vector database or is sent to an LLM, implement a PII (Personally Identifiable Information) scrubbing step. Use libraries like Presidio to identify and redact sensitive data like names, social security numbers, and addresses automatically.
Data Residency
If you are subject to GDPR or other regional regulations, ensure your RAG system is partitioned by geography. Never store EU customer data in a database located in the US. Build your architecture to be "data-resident aware" from day one.