Security Policy

🛡️ Our Commitment to Security

Kuro AI takes security seriously. This document outlines our security practices, how to report vulnerabilities, and the measures we've implemented to protect users and their data.

🔒 Security Features

Authentication & Authorization

• Clerk Integration - Enterprise-grade authentication service
• JWT Token Validation - Secure session management
• Protected Routes - API endpoint access control
• User Session Management - Secure login/logout flows

Data Protection

• Environment Variable Security - API keys never exposed in code
• Input Validation - All user inputs sanitized and validated
• Output Sanitization - AI responses cleaned before display
• CORS Protection - Proper cross-origin resource sharing configuration

AI Safety & Content Filtering

• Multi-layered Safety System - Content filtering and validation
• Hallucination Detection - Prevents AI from generating false information
• Harmful Content Blocking - Blocks inappropriate or dangerous responses
• Response Quality Scoring - Ensures helpful, appropriate responses

Infrastructure Security

• HTTPS Enforcement - All communications encrypted in transit
• Secure Headers - Security headers for web protection
• Rate Limiting - Protection against abuse and DoS attacks
• Error Handling - Secure error messages without information leakage

✅ Implemented Security Measures

Environment & Secrets Management

• .env file is in .gitignore
• .env.example created with placeholder values
• No hardcoded API keys or secrets in code
• Environment variables used for all sensitive configuration

API Security

• CORS properly configured for allowed origins
• Security headers added (X-Content-Type-Options, X-Frame-Options, etc.)
• Proper error handling without exposing internal details
• HTTP exception handling with appropriate logging
• Debug mode disabled in production (DEBUG=false)

Code Quality

• Comprehensive logging with proper formatting
• Input validation using Pydantic models
• Proper exception handling throughout
• No duplicate endpoints
• Clean separation of concerns

AI Safety System

• Content filtering for harmful responses
• Hallucination detection mechanisms
• Response quality validation
• Safety guardrails in prompt system

🚨 Reporting Security Vulnerabilities

We encourage responsible disclosure of security vulnerabilities. If you discover a security issue, please follow these steps:

1. DO NOT Create Public Issues

• Do not open GitHub issues for security vulnerabilities
• Do not discuss security issues in public forums or social media

2. Contact Us Privately

• Email: security@kuro-ai.com
• Subject: Security Vulnerability Report - [Brief Description]
• Response Time: We aim to respond within 24 hours

3. Provide Detailed Information

Include the following in your report:

• Description of the vulnerability
• Steps to reproduce the issue
• Potential impact and severity assessment
• Suggested fix (if you have one)
• Your contact information for follow-up

🔒 Production Deployment Checklist

When deploying to production, ensure:

Environment Security

• Set DEBUG=false
• Use production database URLs
• Configure CORS for production domain only
• Enable HTTPS everywhere
• Use strong, unique API keys
• Set secure environment variables

Infrastructure Security

• Use HTTPS/TLS everywhere
• Configure rate limiting
• Set up proper backup procedures
• Use environment-specific configurations
• Enable security headers
• Configure firewall rules

Monitoring & Alerting

• Set up application monitoring
• Configure log aggregation
• Set up health check monitoring
• Configure alerting for errors
• Monitor for suspicious activity
• Set up intrusion detection

🔧 Security Configuration Examples

Environment Variables

Never include sensitive information in your code:

# ❌ NEVER do this
const API_KEY = "sk_test_abc123def456";

# ✅ Always do this
const API_KEY = process.env.GEMINI_API_KEY;

CORS Configuration

from fastapi.middleware.cors import CORSMiddleware

app.add_middleware(
    CORSMiddleware,
    allow_origins=[os.getenv("FRONTEND_URL")],  # Specific origin only
    allow_credentials=True,
    allow_methods=["GET", "POST"],  # Specific methods only
    allow_headers=["*"],
)

Input Validation

from pydantic import BaseModel, validator

class ChatMessage(BaseModel):
    message: str
    session_id: str
    
    @validator('message')
    def validate_message(cls, v):
        if len(v) > 2000:
            raise ValueError('Message too long')
        return v.strip()

🚨 Never Commit These Files

• .env (contains real API keys)
• Any files with actual credentials or secrets
• Private keys or certificates
• Database dumps with real data
• Configuration files with production secrets

✅ Safe to Commit

• .env.example (with placeholder values only)
• All source code files
• Configuration files without secrets
• Documentation and README files
• Public configuration templates

⚠️ Known Security Considerations

Current Limitations

1. AI Response Validation - While we have safety filters, AI responses should always be used with caution
2. Rate Limiting - Current rate limiting is basic; consider implementing more sophisticated protection for high-traffic scenarios
3. Data Retention - Review data retention policies based on your privacy requirements

Planned Improvements

1. Advanced Rate Limiting - IP-based and user-based rate limiting
2. Enhanced Monitoring - Security event logging and alerting
3. Regular Security Audits - Automated security scanning
4. Penetration Testing - Regular third-party security assessments

📖 Security Resources

Learning Resources

• OWASP Top 10
• FastAPI Security
• React Security Best Practices
• Clerk Security Documentation

Security Testing Tools

• OWASP ZAP - Web application security scanner
• Bandit - Python security linter
• ESLint Security Plugin - JavaScript security linting
• npm audit - Node.js dependency security audit

📞 Security Contact

• Security Email: security@kuro-ai.com
• General Support: support@kuro-ai.com
• Response Time: 24 hours for security issues
• PGP Key: Available upon request

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🔐 Security Statement

Kuro AI is committed to maintaining the highest standards of security and privacy. We regularly review and update our security practices to protect our users and their data. If you have any security concerns or suggestions, please don't hesitate to contact us.

Last Updated: January 27, 2025
Next Review: July 27, 2025