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.
PII in Vector Embeddings: A Defense Guide
Embeddings look like just numbers, but research shows they are partially invertible. A practical defense guide for vector stores against PII recovery attacks.
The Ethics of Training: Why We Use Synthetic Data
A privacy tool should never be trained on the data it protects. Why Philterd's models are built entirely on synthetic data, and what that means for compliance.
Building a HIPAA-Compliant Medical Chatbot
Why generic RAG chatbots fail HIPAA, and a blueprint for building a medical chatbot that satisfies Safe Harbor at ingestion, retrieval, and inference.
Building a Privacy-Aware RAG System
RAG pipelines have two distinct PII leak vectors: ingestion and inference. A defense-in-depth blueprint with code, using Philter and the Philter AI Proxy.
Beyond Regex: Why General LLMs Fail at PII Discovery
Regex misses context, general LLMs over-redact and burn GPUs. The right answer is hybrid: pattern matching for the deterministic, specialized AI for the rest.
Open Source vs. Black Box: Why You Can't Afford "Trust Me" Privacy
For a CISO, trust me is not a strategy. Why auditable open source is the new enterprise standard for PII redaction, and what it means for compliance.
Why API-Based Redaction is a Security Antipattern
Sending sensitive data to a third-party redaction API opens the security holes you are trying to close. Why data sovereignty needs a self-hosted engine.
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.
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.