▒░ enterprise GenAI governance

Who can do what,
with which model, on what data?

As GenAI proliferates across your enterprise - every team firing prompts at every model, embedding every dataset, wiring up agents and tools - the question becomes "should everyone access everything?"

For 99.9% of us, the answer is no.

Governance is how you actually enforce that "no" as usage scales.

▓▒ our answer

PxR Hub

One policy plane between your users, data, tools, agents and LLMs. Every prompt, every retrieval, every tool call passes through one place - so policy, masking, audit and access are unified instead of scattered across five vendors.

▓▒ how it works

Five things to govern. One control plane.

PxR Hub policy · masking · audit access · routing Users roles · groups LLMs frontier · OSS · local Tools canned · custom Agents workflows · chains Data sources · vectors

▒░ what success looks like

Roll out capability. Keep the guardrails.

Success means value-add - helping people do what they need to do without unnecessary additional risk. PxR Hub is how you keep that promise as your usage scales from one team to your whole enterprise.

▓ control

Identity-aware policy

Bind access to roles, groups, projects, missions. Decisions cascade - no one-off exceptions to track later.

Per-source data masking

Row- and column-level masking with vector segregation, so retrieval can't leak what the user can't see.

Model + runtime routing

One policy decides which model an action runs against - frontier API, OSS in your VPC, or local on the edge.

▓ visibility

Full-fidelity audit

Every prompt, retrieval, and tool call captured with the policy decision attached. Discovery-ready out of the box.

Usage & cost telemetry

Per-team, per-app, per-model. Catch the team that's burning $40k/mo on the wrong model before finance does.

Vector-DB segregation

Embeddings inherit the source's classification - no quietly trained-in PII, no cross-tenant leakage.

Stop "Shadow AI"

Provide a sanctioned, capable path so your teams stop pasting customer data into random web tools.

Talk to us about a pilot → See where you fit on the GenAI journey →