Security Governance
Secure AI delivery, by design.
AI that actually reaches production has to pass security, risk and procurement. Here's how we build for that from the first stage of the Shift Framework, not bolt it on at the end.
Five pillars
What you can expect from any InferShift deployment.
Capabilities, not unverified certifications. Where standards or attestations are relevant, we discuss them in scope of the engagement.
01 / DATA RESIDENCY
Your data stays in your tenancy.
Inference and fine-tuning run inside the customer's own Oracle Cloud Infrastructure tenancy. No shared model endpoints. No third-party data exposure. Customer retains full control of region, access, and lifecycle.
- Private OCI deployment
- Customer-owned encryption keys (BYOK supported)
- Region pinning
- No InferShift access without explicit grant
02 / ACCESS CONTROL
Least privilege, all the way down.
Role-based access from the platform layer to the model layer, time-bound break-glass with full attestation. InferShift personnel access is gated, logged, and revocable.
- RBAC and attribute policies
- MFA enforced
- Just-in-time access for InferShift staff
- Quarterly access reviews
03 / AUDIT LOGGING
Everything that touches the model is logged.
Prompts, model outputs, configuration changes, and access events emit signed, immutable audit logs to the customer's SIEM. Retention is the customer's choice.
- Prompt and output logging
- Configuration change events
- SIEM-friendly export (Splunk, Elastic, OCI Logging)
- Customer-defined retention
04 / MODEL GOVERNANCE
Models are evaluated before they ship, and after.
Every production model passes pre-deployment evaluations (accuracy, drift, safety, bias) and continues to be evaluated post-deployment. Versioning, rollback, and change approvals are operational defaults.
- Pre-production evaluation suite
- Post-deployment drift monitoring
- Versioned models with rollback
- Approval workflow for production changes
05 / INCIDENT RESPONSE
A defined response posture, before incidents happen.
Incident classification, customer notification SLAs, containment, and root-cause analysis are agreed during the Design stage of the Shift Framework. We do not wait for an incident to write the runbook.
- Pre-agreed severity classes
- Notification SLAs aligned to your obligations
- Forensics-ready logs
- Joint runbooks during Design stage
Where this lives in the Shift Framework
Governance is not a Stage Six bolt-on.
Risk constraints land in Define. Governance and audit posture land in Design. Pilot exit criteria land in Deliver. Ongoing monitoring lives in Drive.
Next step
Talk security with our team.
Book the AI Readiness Call to walk through deployment posture, audit obligations and how Voqu fits in your security perimeter.