Security Built into the Solution Architecture
Security requirements vary by product and hosting environment. We design access, data boundaries and deployment controls around the actual system rather than making broad compliance claims that are not supported by evidence.
Security Practices
Role-based access control in MultiLLM AI Platform
HTTPS and token authentication for API communication
Private Weaviate collections per bot/group for knowledge isolation
Database query patterns that share query results rather than entire datasets with LLMs
Token and budget limits to control AI usage
On-premises deployment option for organisations that require data to remain on their infrastructure
Backup, redundancy and secure employee access practices across our delivery environment
Secure Development Principles
- Least-privilege access
- Clear authentication and authorization rules
- Environment and secret management
- Validation of external inputs and outputs
- Logging and traceability for important workflows
- Testing and controlled releases
Discuss Your Security Requirements
Share your hosting, access, data residency and integration constraints during discovery so they can be designed into the architecture.