01
Keep private data private
Keep company information inside the approved environment when the data requires it.
Solutions / Private and controlled AI
Decide where company data can go before the work runs.
Apply company rules for data, providers, models, regions, tools, and external access before an AI request can run.
- System
- Private and controlled AI
- Focus
- Only approved paths open.
- State
- Company rules enforced
- Output
- Recorded decision
SEC-700Company rules enforced
The model does not get to overrule company policy.
Tribble creates a controlled boundary between private company information and the approved systems, tools, and models that may use it.
If a request cannot run within those rules, Tribble stops it or offers only an approved alternative. Available deployment modes, regions, and providers depend on technical and legal review.
02
Limit providers and regions
Allow only the models, providers, locations, and endpoints that satisfy company rules.
03
Control external access
Send only the approved information a task needs, or block external execution entirely.
04
Record every decision
Show which rule allowed, restricted, escalated, or denied the request.
One restricted request stops before data reaches an unapproved system.
Company rules decide which providers, regions, tools, and models may run the work, or whether it runs at all.
Classify
Identify
Attach data, user, application, and region context.
Policy
Constrain
Resolve allowed models, providers, locations, and tools.
Relay
Select
Choose an approved external or customer-hosted way to run the work.
Trace
Prove
Preserve the complete decision and execution record.
Define the policy and deployment boundary for a restricted workload.
In one working session, we map the current applications, model spend, repeated work, and the first result worth proving. You keep the map either way.