Presidio as an LLM Guardrail
Every previous part of this series has been building toward this one. You can detect PII. You can anonymize it with the right operator for each entity type. You can build custom recognizers for your organization's specific data patterns. Now we put it all together into the architecture that matters most in 2026: a PII guardrail that sits between your users and your LLM. The problem is straightforward. Users type personal information into prompts. Support agents paste customer records into chat...
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