PII tokenization SDK and proxy for AI pipelines
Project description
pii-vault
PII tokenization SDK and proxy for AI pipelines.
Every AI feature you ship today silently sends customer data to LLM providers. pii-vault sits between your application and any LLM API — tokenizing PII outbound, re-hydrating inbound — so sensitive data never leaves your infrastructure.
from pii_vault import SafeOpenAI
client = SafeOpenAI(api_key="...", vault_key="...")
# PII is tokenized before leaving your server, re-hydrated in the response
response = client.chat.completions.create(
model="gpt-4o",
messages=[{"role": "user", "content": "Summarize the case for John Smith, john@acme.com"}]
)
Status
🚧 Early development. Star to follow progress.
What it does
- Deterministic tokenization — names, emails, phones, addresses, medical IDs → opaque tokens
- Drop-in proxy — replace
OpenAI()withSafeOpenAI(), same interface, zero architecture change - Multi-provider — OpenAI, Anthropic, Google, and more
- Regional vault — EU and US residency, GDPR-ready from day one
- DSAR automation — one-call data subject export and deletion
- Format-preserving — emails stay email-shaped, phones stay phone-shaped
Roadmap
- Python SDK
- TypeScript SDK
- Self-hostable vault
- Hosted service (mawlaia.com)
- SOC 2 Type II
- HIPAA BAA
License
MIT
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