Hi HN,

I built TensorWall because I noticed how difficult it is to balance LLM freedom with production safety. It’s an open-source security layer designed to intercept, analyze, and filter prompts and responses in real-time.

Key features:

PII Redaction: Automatically masks sensitive data before it reaches the model.

Prompt Injection Defense: Detects malicious patterns in user inputs.

Output Validation: Ensures the model stays within predefined constraints.

Framework Agnostic: Easy to integrate with existing Python stacks.

I’m looking for feedback on the architecture and what specific security "walls" you'd like to see next.

Check it out here: https://github.com/datallmhub/TensorWall