## 🎓 Use Cases

### 1. Production Monitoring
Deploy HoneyMCP in production to detect attacks targeting your AI agents:
- **Customer support bots** - Detect attempts to exfiltrate customer data or inject malicious responses
- **Internal AI assistants** - Catch data theft attempts targeting internal credentials or documents
- **Code generation tools** - Detect injection of malicious code or unauthorized file access
- **Data analysis agents** - Identify attempts to steal sensitive datasets or manipulate outputs

### 2. Red Team Testing
Use HoneyMCP to validate your AI security defenses:
- Test if your AI filters catch data exfiltration attempts
- Measure indirect prompt injection success rates
- Gather TTPs for threat modeling

### 3. Security Research
Study AI agent attack techniques in the wild:
- Capture real-world exfiltration patterns
- Analyze indirect prompt injection payloads
- Build threat intelligence database

### 4. Compliance & Auditing
Demonstrate security controls for AI systems:
- Prove attack detection capabilities for data theft and injection attacks
- Generate audit logs of attempted attacks
- Meet AI security compliance requirements

