Vrangr is one system that controls how AI touches sensitive data. It starts with a single protected workflow and grows into a map of your documents, people, events, and decisions, with rules in place the whole way.
Vrangr sits between your protected data and AI. It does not replace the model. It governs the boundary so the model only sees what your rules allow, and so every answer leaves a record you can defend.
Connecting a model straight to sensitive records assumes the request is safe. It is not. Ordinary setups over-share, cross boundaries, reach unapproved models, and keep no record. Vrangr treats each of those as a control point.
Vrangr checks who is asking and what they can see, controls what is retrieved and where it goes, and records what happened. The same loop runs behind every workflow you add.
You do not have to adopt everything at once. Begin with one sensitive question over one protected dataset, prove the controls, then expand.
Ask questions across sensitive data with rules in place. This is where every engagement starts.
Connect documents, people, events, and decisions to their sources so answers can be traced.
Support cases, reviews, alerts, approvals, and handoffs, each one inside the same controls.
Run in private cloud, VPC, on-prem, or through an approved AI gateway.
Access is bound to who is asking, their role, and the task.
Records are tagged so the system knows what each one holds.
Retrieval returns only what the requester may see.
Restricted detail is removed or summarized before a model sees it.
Requests run only where policy allows them to run.
Every answer carries a record of what happened and why.
We will scope it with you, run it through the controls, and review the records together before anything grows.