# AI Guardrails Engine

**Status:** Active development  
**Tags:** governance, safety, policy enforcement, risk scoring

## Overview

A policy enforcement layer for AI agents operating in production. Evaluates agent outputs against a configurable policy registry before execution.

## How It Works

1. Agent proposes an action
2. Guardrails engine evaluates against policy registry
3. Returns: `allow` / `block` / `escalate` + risk score
4. Audit log entry created regardless of outcome

## Policy Registry Format

```json
{
  "policies": [
    {
      "id": "no-pii-exfil",
      "description": "Block actions that transmit PII externally",
      "risk_score": 9,
      "action": "block"
    },
    {
      "id": "large-delete",
      "description": "Escalate bulk delete operations",
      "risk_score": 7,
      "action": "escalate"
    }
  ]
}
```

## Tech Stack

- Python 3.11+
- Rule engine (custom)
- Structured audit logging
- JSON Schema validation

## Roadmap

- [ ] Web UI for policy management
- [ ] Integration with LangChain / LangGraph
- [ ] Anomaly-based risk scoring (ML)
- [ ] Compliance export (SOC 2 ready)