Outcomes
What you achieve
Enterprise AI capabilities without compromising security or compliance.
On-premises deployment
Run AI models entirely within your infrastructure. No data leaves your security boundary.
Regulatory compliance
Meet HIPAA, FedRAMP, ITAR, and other regulatory requirements with auditable AI operations.
Custom model training
Fine-tune models on your domain-specific content without exposing data to third parties.
Governance controls
Complete control over model versions, inference policies, and usage monitoring.
Architecture
Reference architecture
How private AI integrates within your secure environment.
Secure Boundary
- Your Data Center
- Private Cloud
- Air-Gapped Option
- Network Isolation
AI Infrastructure
- GPU Compute
- Model Storage
- Inference Engine
- Load Balancer
AI Models
- Pre-trained Models
- Custom Fine-tuning
- Version Control
- A/B Testing
Governance
- Access Control
- Audit Logging
- Usage Policies
- Compliance Reports
Air-gapped option
Full audit trail
Compliance ready
Security
Security considerations
Private AI is designed for the most security-conscious organizations.
- Air-gapped deployment options
- No customer data used for model training
- Hardware security module (HSM) integration
- Complete audit trail of all AI operations
- Role-based access to AI capabilities
- Configurable content filtering and guardrails