| Hey all, I'm the creator of the PII Firewall Edge API (currently on RapidAPI). I saw a lot of devs struggling to implement safety guardrails correctly—most were just using basic regex or heavy LLMs that hallucinate. So, I decided to package my API into a full-featured UI/Toolkit called Risk Mirror. What it does: It sits between your users and your LLM (OpenAI/Anthropic) and strips out sensitive data before it leaves your server. The Tech (Zero AI Inference): Instead of asking an LLM "is this safe?", I use: 152 PII Types: My custom engine covers everything from US Social Security Numbers to Indian Aadhaar cards and HIPAA identifiers.
Shannon Entropy: To detect high-entropy strings (API keys, passwords) that regex misses.
Deterministic Rules: 100% consistency. No "maybe."
Why use this? It's Tested: The underlying API engine is already battle-tested.
It's Fast: <10ms latency. Includes a 'Twin Dataset' generator for Data Scientists (redact CSVs securely). Feedback welcome!" |