LLM

Prompt Engineering for Privacy: Practical Patterns for Not Leaking PII

Every prompt sent to an LLM is a data egress point. Six concrete patterns for structuring prompts, redacting inputs, and scanning outputs so PII doesn't leak.

Using an LLM or Pattern-based Rules for PII/PHI Redaction

Comparing the two main approaches to redacting PII and PHI: an LLM versus pattern-based rules. How each handles accuracy, cost, and GDPR or HIPAA compliance.

Why Using an LLM to Redact PII and PHI is a Bad Idea

Lots of posts show how to redact PII and PHI text with a large language model (LLM). Can we really just let an LLM handle it? Here is why that is a bad idea.

Philter as an AI Policy Layer

An AI policy layer inspects AI-generated text to prevent sensitive information from being exposed, removing names, addresses, telephone numbers, and more.

Medical Chatbot — User Input Redaction

LLM Training Data Preparation