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AI Guardian: Advanced AI Security Protection

Enterprise-grade security layer for protecting AI models and preventing prompt injection attacks

Overview

AI Guardian is a comprehensive security solution designed to protect AI models and applications from various attacks, including prompt injection, model manipulation, and data extraction attempts. It provides real-time monitoring, threat detection, and automated response capabilities.

Key Security Features

1. Prompt Injection Protection

  • Input sanitization and validation
  • Context boundary enforcement
  • Semantic analysis of prompts
  • Pattern-based attack detection

2. Model Security

  • Model input/output validation
  • Resource usage monitoring
  • Response filtering
  • Version control and rollback

3. Access Control

  • Role-based permissions
  • API authentication
  • Usage quotas
  • Audit logging

Implementation

Basic Setup

  1. Enable AI Guardian in your environment: 

    # In your .env file
AI_GUARDIAN_ENABLED=true
AI_GUARDIAN_LOG_LEVEL=info
AI_GUARDIAN_ALERT_THRESHOLD=0.8

  2. Configure security policies: 

    policies:
  - name: prompt_injection
    enabled: true
    action: block
    threshold: 0.9
  - name: resource_abuse
    enabled: true
    action: throttle
    limit: 100/minute

Advanced Configuration

Custom Security Rules

rules:
  - name: sensitive_data_filter
    pattern: "(password|api_key|secret).*"
    action: redact
  - name: model_protection
    max_tokens: 1000
    temperature_range: [0.1, 0.9]
    action: enforce

Security Features

1. Real-time Protection

  • Prompt analysis and filtering
  • Request rate limiting
  • Response validation
  • Anomaly detection

2. Monitoring & Alerts

  • Security event logging
  • Alert notifications
  • Performance metrics
  • Usage analytics

3. Compliance & Audit

  • Detailed audit trails
  • Compliance reporting
  • Policy enforcement
  • Incident response

API Integration

Protection Endpoint

curl -X POST "http://home-lab.cyber-ai-agents.com/api/guardian/check" \
     -H "Authorization: Bearer YOUR_API_KEY" \
     -d '{
       "prompt": "user input here",
       "model": "model_name",
       "context": "application_context"
     }'

Response Format

{
    "safe": true,
    "score": 0.95,
    "threats": [],
    "modified_prompt": "sanitized input here",
    "recommendations": []
}

Best Practices

1. Security Configuration

  • Enable all protection features
  • Set appropriate thresholds
  • Configure alerting
  • Regular policy updates

2. Monitoring

  • Review security logs
  • Track usage patterns
  • Monitor performance
  • Analyze threats

3. Incident Response

  • Define response procedures
  • Set up alerts
  • Document incidents
  • Regular drills

Troubleshooting

Common Issues

  1. False Positives
  2. Adjust sensitivity thresholds
  3. Review rule configurations

  4. Update allow lists

  5. Performance Impact

  6. Optimize rule processing
  7. Configure caching

  8. Adjust batch processing

  9. Integration Issues

  10. Verify API configuration
  11. Check authentication
  12. Validate request format

Maintenance

Regular Tasks

  1. Update security rules
  2. Review audit logs
  3. Test protection features
  4. Update documentation

Health Checks

  • Protection status
  • Rule effectiveness
  • Performance metrics
  • System resources

Support

For security-related assistance: - Email: support@cyber-ai-agents.com - Security Portal: http://home-lab.cyber-ai-agents.com/security - Emergency: http://home-lab.cyber-ai-agents.com/security/emergency

Additional Resources