AI Safety & Ethics
RefGen AI is built on principles of responsibility, transparency, and user privacy. We're committed to safe AI development.
Google AI Principles
We strictly adhere to Google's AI Principles for responsible AI development and deployment. Our systems are designed with safety-first architecture.
Safety Filtering
All generated content passes through Gemini's advanced safety filters to detect and prevent harmful, illegal, or inappropriate outputs before delivery.
Zero-Training Policy
User prompts and generated images are never used to train public models. Your intellectual property remains completely private and isolated.
Data Encryption
All data in transit uses TLS 1.3, and data at rest is encrypted with AES-256. Enterprise clients run on isolated Cloud Run instances for complete data isolation.
Content Moderation
RefGen AI leverages Gemini's built-in safety systems to automatically detect and prevent generation of:
- Illegal or copyrighted content
- Harassment, hate speech, or violence
- Sexual or exploitative material
- Misinformation and harmful deepfakes
- Personally identifiable information (PII)
Privacy & Data Protection
We implement enterprise-grade security measures:
- All user data encrypted at rest (AES-256) and in transit (TLS 1.3)
- No data sharing with third parties without explicit consent
- GDPR and data protection regulation compliance
- Regular third-party security audits
- Automated threat detection and incident response
Transparency & Accountability
We believe in transparent AI practices:
- Clear disclosure of AI-generated content provenance
- User control over model selection and generation parameters
- Regular ethics reviews and safety assessments
- Open communication about limitations and risks
- Dedicated safety and ethics team oversight