Private deployment and data-security decision guide
Choose public API, dedicated cloud, or on-premise deployment from sensitivity, system boundaries, and operating capability—not private deployment by default.
Our position
Most private-deployment decisions are driven by anxiety rather than a security requirement — and the bill arrives two years later.
What to take away
- Data, latency, control, and operating cost jointly determine deployment shape.
- Private deployment is not automatically secure; identity, logging, and updates still matter.
- Classify data before deciding which tasks must stay in a controlled environment.
Method breakdown
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Start from data classification
Public material, internal content, sensitive business data, and regulated data need different controls. Inventory what may appear in input, output, and logs, then define transfer, retention, and access constraints.
- List every data class the task can touch
- Mark sensitivity, residency, and retention
- Confirm provider training and retention terms
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Compare the real cost of three deployment modes
Public APIs start quickly, dedicated cloud adds isolation, and on-premise offers the most control while shifting capacity, updates, monitoring, and response to your team. Compare time to launch, peak capacity, and three-year cost together.
- Estimate three-year total cost
- Assess latency, concurrency, and availability
- Verify internal infrastructure and model operations skills
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Secure the entire chain
Even an internal model can expose data through prompts, retrieval, tool calls, or logs. Apply identity, least privilege, encryption, audit, and incident response across the chain, with explicit authorization for external agent actions.
- Carry user permissions into retrieval and tools
- Review or redact sensitive outputs
- Audit logs, keys, and dependencies regularly
Action checklist
- Is all task data classified?
- Are transfer, retention, and training-use policies explicit?
- Have speed, total cost, and operating capability been compared?
- Do identity, authorization, audit, and key management cover the full chain?
- Are external agent actions least-privileged and approved?
Who this is for
Management and technical teams handling sensitive data, regulation, or AI deployment decisions.