Prove7
Now launching · A Prove7 product

Prove7 ControlChat

Governed Cowork, Copilot & coding agents. Your enterprise intelligence stays inside.

The Zero-Trust, integrated stack for operating specialized agentic systems — so Cowork, Copilot and coding agents work with your enterprise data without it ever leaking into external AI.

The problem

Convenience opened a back door to your data.

Enterprises adopted AI coding and productivity agents fast. Wired straight to external models through MCP endpoints, that convenience quietly exposed proprietary data and intelligence to systems you don’t control — and created security, compliance, and data problems at scale.

01

Data exfiltration by default

Enterprise data and intelligence seep into external AI with no defense- or enforcement-in-depth.

02

No path to Sovereign AI

No practical way to keep AI and data operating inside your own boundary.

03

No AI-Ops, no control

You can’t effectively operate, observe, or retain control of what the agents do.

04

Intelligence lock-in

Your proprietary knowledge gets trapped inside one provider’s model.

05

Unchecked leakage

Proprietary enterprise information leaves the building, unmonitored.

06

No governance

You can’t assert your standards, controls, or compliance posture.

07

Risk concentration

Cost and a single point of intelligence compound as lock-in and outsourcing deepen.

Prove7 ControlChat

Two ways to run it. Your data stays yours in both.

Prove7 ControlChat puts a Zero-Trust boundary around the AI assistants your teams already rely on — so Cowork, Copilot and coding agents keep working, without your intelligence leaking out.

Mode 1 · Direct to Native App

Keep your native Cowork & Copilot assistants

Stay on the assistants you already use. Prove7 segregates access to enterprise data — AI-model & agent agnostic — across three dimensions, so the right agent reaches the right data for the right user, and nothing more.

DataAgentUser
Mode 2 · Direct to Prove7

Federated, governed access via ControlChat

Tailor Prove7 ControlChat for your enterprise and obtain federated, governed, attribute-based access to enterprise systems — without locking into any one AI model provider.

FederatedGovernedAttribute-based
In both Mode 1 and Mode 2, Prove7 ControlChat provides AI-ecosystem-agnostic, end-to-end configurable and secure data access to your systems — CRM, HR, ERP and beyond. No lock-in. No leakage. Full control.
How it works

One control plane between your agents and your data.

01 · Connect

Point everything at Prove7

Connect your assistants and enterprise systems — CRM, HR, ERP — through MCP and governed connectors.

02 · Standardize

Skills & policy, once

Define skills a single time and set attribute-based policy across Data, Agent and User.

03 · Broker

Enforce at the boundary

Every request routes through the Zero-Trust boundary; Prove7 segregates access and enforces policy inline.

04 · Prove

Seal every action

Each action lands on a tamper-evident, replayable record you can hand to an auditor.

Provider-agnostic

Works across your assistants, models and systems.

Assistants

CoworkMicrosoft CopilotCoding agentsChat assistants

Model providers

OpenAIAnthropicGoogleAzure OpenAIAmazon BedrockSelf-hosted

Enterprise systems

CRMHRERPIdentityData storesTicketing

Representative coverage. Prove7 ControlChat is AI-provider-agnostic and connects to your existing stack — standardize once, swap providers without re-plumbing.

FAQ

Questions, answered.

Does ControlChat replace the AI assistants we already use?

No. In Mode 1 your teams keep the Cowork and Copilot assistants they already use — Prove7 governs access around them. In Mode 2 you route those assistants through ControlChat for a single governed control plane.

How does ControlChat stop data leaking into external AI?

Every request passes a Zero-Trust boundary. Prove7 segregates access across Data, Agent and User and enforces policy inline, so only the data a given user or agent is entitled to ever reaches the model.

Is Prove7 tied to one AI provider?

No — it’s AI-provider-agnostic. Standardize your skills once and connect any provider or assistant, then switch providers without re-plumbing.

What enterprise systems can agents reach?

CRM, HR, ERP and more, through governed connectors — each behind attribute-based access controls across Data, Agent and User.

How do we prove compliance to an auditor?

Every action is sealed to a tamper-evident, replayable record. You hand the auditor a link, not a war room.

How do we get started?

Start in one mode, on your own stack. Schedule a demo and we’ll scope it to your assistants and systems.