llm-security

# Secure LLM Implementation Plan for [COMPANY]

## Executive Summary
This plan addresses **prompt injection risks** in our customer support AI assistant for a healthcare SaaS platform. The system processes PHI (Protected Health Information) and must comply with HIPAA regulations while maintaining usability.

## Threat Model
**Primary Risks Identified:**
- *Prompt Injection*: Malicious users attempting to extract PHI via crafted prompts
- *Data Leakage*: Unauthorized exposure of patient records through model responses
- *Inference Attacks*: Reconstructing sensitive patterns from model outputs

## Mitigation Strategies

### 1. Input Sanitization Layer
```python
def sanitize_input(user_prompt: str) -> str:
    forbidden_patterns = [
        r"(?i)extract.*(patient|health|medical|record)",
        r"(?i)list.*(all|every|complete).*user",
        r"(?i)show.*(password|ssn|credit)"
    ]
    for pattern in forbidden_patterns:
        if re.search(pattern, user_prompt):
            raise SecurityException("Input contains prohibited patterns")
    return user_prompt
```

### 2. Contextual Output Filtering
Implemented a dual-stage verification system:
- **Stage 1**: Model outputs are scanned for PHI patterns using regex
- **Stage 2**: Human review queue for high-risk responses (e.g., answers containing "patient", "diagnosis", or "treatment")

### 3. Rate Limiting & Monitoring
- Implemented 5 requests/minute limit per user session
- Real-time anomaly detection for unusual query patterns
- Automated blocking for >3 failed authentication attempts

## Compliance Checklist
- [x] OWASP LLM-01: Prompt Injection (Mitigated via input sanitization)
- [ ] OWASP LLM-02: Insecure Output Handling (Pending UAT)
- [x] OWASP LLM-03: Training Data Poisoning (Prevented via data pipeline controls)

## Next Steps
1. Conduct penetration testing with simulated attack vectors
2. Implement model watermarking for output verification
3. Schedule quarterly security audits

**Last Updated:** 2024-11-15
**Owner:** Security Team
**Approved by:** CISO