Governance & Security
Enterprise AI you can actually trust
Security and governance are built into the platform — not bolted on. From private deployment to audit logging and Key Vault-backed secrets, every control is designed for regulated industries.
Controls
Defense in depth, across the stack
Data Privacy
Your data stays within your boundary. Encryption in transit and at rest by default.
Private AI Deployment
Run models in your tenancy, VPC, or fully on-prem with local LLMs.
No Training on Your Data
Client data is never used to train models unless you explicitly approve it.
Role-Based Access Control
Granular RBAC across services, admin functions, and data — least privilege by design.
Human-in-the-Loop
Approval gates on high-impact actions; AI proposes, a human confirms.
Audit Logging
Immutable logs of administrative and AI actions for traceability and review.
Prompt-Injection Protection
Input sanitization, tool allow-lists, and output validation guard against injection.
Secure API Gateway
Centralized authn/z, rate limiting, schema validation, and request signing.
Model Monitoring
Track quality, drift, latency, cost, and abuse signals across deployments.
Compliance Support
Controls and evidence aligned to HIPAA, SOC 2, GDPR, and industry requirements.
Azure Key Vault
Secrets stored as Key Vault references; no credentials in code or config files.
Secure Credential Storage
Managed identities and workload identity — short-lived, rotated credentials.
Administrative Access Controls
Protected admin portal behind Zero Trust with session management and MFA-ready auth.
Secrets never touch your code
Sensitive values — database strings, AI API keys, signing secrets — are stored as Azure Key Vault references and injected at runtime via managed identity and the Secrets Store CSI driver. The admin portal stores configuration with secret fields masked and write-only.