Evaluate Radium against your current model
Radium is designed for organizations running AI in production. Security, governance, and access controls are embedded at the endpoint level, not layered on as afterthoughts.
Radium processes requests to generate model responses. We do not use customer data to train models.
Customer data is handled according to strict access controls and retention policies aligned with enterprise requirements.
Key principles:
No training on customer prompts
Logical isolation between customers
Access restricted to authorized personnel
Audit logging for administrative actions
For detailed data handling policies, enterprise customers can request documentation during security review.
Radium supports enterprise-grade identity integration.
SSO / SAML integration
Role-based access control
API key management
Granular permission controls
Access to production environments is limited and monitored.
Operational transparency is essential for enterprise AI. Radium provides:
Request-level logging
Usage visibility
Rate limiting controls
Audit trails for configuration changes
Teams maintain visibility into usage patterns and access activity.
Radium’s delivery infrastructure is designed for production-grade workloads.
Encrypted data in transit
Secure network configurations
Controlled deployment environments
Monitoring and alerting systems
Infrastructure is designed to maintain latency targets while preserving operational safeguards.
Radium supports structured enterprise security reviews. Upon request, we provide:
Architecture documentation
Data flow diagrams
Access control summaries
Policy documentation
Security engagement is handled directly with technical leadership.
Radium supports structured enterprise security reviews. Upon request, we provide:
Architecture documentation
Data flow diagrams
Access control summaries
Policy documentation
Security engagement is handled directly with technical leadership.
For organizations with regulatory or geographic constraints, Radium supports residency-aware routing and structured deployment options.
This allows enterprises to align AI delivery with jurisdictional and compliance requirements.