Secure Coding Inference
Designed to Keep Your Code Under Control
Connect your development tools to coding models through a controlled service. Access, retention and deployment options depend on the plan and configuration, so teams can choose the level of privacy and control their work requires.
- Encryption in transit
- Encryption at rest
- API authentication
- Role-based access control
- Rate limiting
- Audit logging
- Secrets management
- Monitoring
- Controlled model access
- No provider data retention
- Code protection controls
- Full data ownership
Our Security Parameters
We are Committed to Maintaining the Following Security Parameters and Controls
| Capability | Public AI subscriptions | Mangix AI Managed Inference | Customer-managed AI |
|---|---|---|---|
| Data control | Limited | Secure | Full control |
| Data retention policy | Limited/Provider-defined | Zero data retention policy | Your policy |
| Source-code protection | Must trust provider controls | High protection under zero data retention policy | Private environment |
| GPU operation | Provider | MangixAI | Customer |
| AI capacity | Plan / provider limits | Higher managed capacity | Depends on infrastructure |
| Developer integration | IDE / API | IDE / API | IDE / API |
| Cost predictability | Provider dependent | Predictable monthly cost | Infrastructure dependent |
| Operational burden | Low | Low | High |
| Coding-focused models | Provider dependent | Selected coding models | Customer selected |
| Infrastructure management | Provider | MangixAI | Customer |
| Deployment Effort | Low | Low | High |
Mangix AI gives organizations a managed alternative between public AI subscriptions and customer-managed AI infrastructure. Get coding-focused inference without taking on the cost and operational burden of running your own GPU environment. Compare your current AI spend and estimate your potential savings with Mangix AI.