Cloud
Managed multi-tenant with database RLS policies, S3 access points, and dedicated compute.
Deployment
Deploy on your terms
Choose the deployment model that fits your security requirements: from managed cloud to running inside your own network.
Deployment options
| Cloud | Private Cloud | On-Premises | |
|---|---|---|---|
| Managed by | Bead AI | Bead AI | Shared |
| Tenant isolation | Logical | Dedicated VPC | Full network isolation |
| Data residency | US | Any AWS region we support | You control |
| Zero-retention LLM inference | |||
| Dedicated infrastructure | — | ||
| Custom SLA | — |
Common questions & Answers
Is data going to leave the environment?
In Cloud and Private Cloud, your data stays within Bead's SOC 2 audited infrastructure. For On-Premises, all data stays inside your network. In every deployment model, inference runs on Amazon Bedrock and Google Cloud Vertex AI inside Bead's own cloud account under zero-data-retention terms: only the minimum context a test needs is sent, nothing is stored or logged, and your evidence never reaches the companies that build the models.
Can I switch deployment model later?
Yes. You can migrate from Cloud to Private Cloud or On-Premises as your needs evolve. Our team handles the migration with zero downtime.
What compliance certifications apply?
SOC 2 Type II certification covers all deployment models. Our AI development is guided by ISO/IEC 42001 and NIST AI RMF frameworks. Penetration testing results are available under NDA.