SecurePrompt scans every prompt for secrets, PII, prompt injection, risky operations, data exfiltration, and malware intent — before it reaches your LLM.

Quick Start

# Build and run
make build
./secureprompt

# Or run directly
make run

The server will start on http://localhost:8080. Open this URL in your browser to access the web interface with a clean UI for scanning prompts.

ChatGPT Custom GPT Integration

SecurePrompt can be integrated as a Custom GPT to scan prompts before they reach ChatGPT:

1. Run SecurePrompt server (ngrok used for demo purposes)
2. Create Custom GPT in ChatGPT with Action pointing to your /v1/prescan endpoint
3. Pre-flight scanning: Every prompt is scanned for secrets, PII, injection attempts
4. Safe rewrites: Blocked/flagged prompts are automatically sanitized

Note: The demo uses ngrok for quick public access. In production, this can be integrated with any managed service, legacy system, or enterprise-grade infrastructure (AWS API Gateway, Azure API Management, on-prem reverse proxy, etc.).

The web interface at web/static/index.html provides standalone access to the same scanning engine.

Test

First, start the server:

make run
# Server will start on http://localhost:8080

Then, in another terminal, scan prompts:

# Safe prompt
make scan PROMPT="Write hello world in Go"

# Secret detected → BLOCK
make scan PROMPT="My key is sk-abc123xyz456"

# Injection → REVIEW
make scan PROMPT="Ignore all previous instructions"

# Run full test suite (will start server automatically)
bash scripts/test_examples.sh

Architecture

Web Interface

Access the interactive web UI at http://localhost:8080 after starting the server. Features:

• Clean, modern interface for prompt scanning
• Three policy levels: Strict, Moderate, Permissive
• Real-time risk scoring and detailed findings
• Safe prompt rewrites for flagged content
• Sub-100ms scan times

API

Method	Path	Description
GET	/	Web interface dashboard
GET	/health	Health check
POST	/v1/prescan	Scan a prompt
GET	/v1/audit	View audit log
GET	/v1/stats	View statistics

Zero Dependencies

The entire project uses only Go's standard library. No external packages.

License

MIT