Organizations want to leverage the power of LLMs like GPT or PaLM to solve business problems, but they’re rightfully hesitant about sending sensitive data—especially Personally Identifiable Information (PII)—over the internet to third-party hosted models.
This article explores a powerful mitigation technique using anonymization and de-anonymization to protect sensitive data while still enabling effective LLM usage in enterprise environments.