Most teams are rushing to use AI, but very few are asking a simple question:

Should raw customer data ever reach an LLM?

In many workflows today, sensitive data (financial info, personal identifiers, internal docs) is directly sent to AI tools. That creates unnecessary risk — even with trusted providers.

At Questa AI, we’re exploring a different approach:

→ A privacy-first LLM layer
→ Using a PII anonymizer to redact sensitive data before processing
→ Enabling Secure AI without fully self-hosting infrastructure

The idea is simple:
AI should work on context, not identity.

Curious how others are thinking about this —
Is privacy best solved through infrastructure (self-hosting), or through smarter data handling?