THE ENTERPRISE AI CONTROL PLANE

Freedom for Employees. Control for IT.

Runtime context governance for enterprise AI: governing what business context AI systems are allowed to access before sensitive data reaches the model.

No agents. No extensions. Connected in days. Governed in weeks.

Try it See How It Works

Field-level classificationFail-closed by designCross-platform

Active

Fields8

Allowed-

Tokenised-

Withheld-

FieldValueTier

deal_amount£45,000exposed

deal_stageNegotiatingexposed

close_date2026-04-15exposed

contact_nameSarah Mitchellexposed

company_nameAcme Corpexposed

email[email protected]exposed

phone+44 7700 900123exposed

notesDiscussed pricing with James Chen, CFOexposed

✦ChatGPTSecured by Boundary

Show me my open deals over £10,000

Here are your open deals over £10,000:

Deal[Deal #1]£45,000Negotiating

Contact[Contact #7]

Company[Company #3]

Emailwithheld

3 passed2 tokenised1 withheld

Zero PII reaches the model.

AI reasons with the data. Users resolve the rest in one click.

Connected in days. Governed in weeks.

Book a demo

UK data residencyOr run Boundary on-prem in your environment.

Decisions recorded, not promptsWhat was classified, which policy applied, the outcome.

In-transit processingBoundary sits in the request path, not a data store.

Vendor-neutral by designChatGPT, Claude and any supporting model.

Trust & SecurityThe full security picture

You cannot block shadow AI.
You need to control the data.

Banning AI tools doesn't work. Employees find workarounds, and the organisation loses visibility entirely. Replacing personal AI tools with a single corporate platform is expensive, and adoption suffers because people abandon tools that don't match how they actually work.

The answer is data control at the protocol layer. Let your people keep the AI tools they're already productive with. Connect those tools to your enterprise systems through MCP. Control what company data flows through those connections, and how.

What data left your organisation via AI tools this quarter?

SEE THE DIFFERENCE

Same prompt. Different data exposure.

Boundary controls what the model sees, not what the user types.

Compare the record with and without Boundary

Without BoundaryGoverned by Boundary

Without Boundary

contact_nameSarah Mitchellexposed

email[email protected]exposed

deal_amount£45,000exposed

notesDiscussed pricing with James Chen, CFOexposed

The AI receives the full record. Every field exposed, every interaction a potential data event.

Governed by Boundary

contact_name[Contact #7]tokenised

email[Email #7]tokenised

deal_amount£45,000allowed

noteswithheldwithheld

An equally useful answer, and no sensitive value reached the model. Every field's treatment is a policy you set, tuned to your own risk profile.

EVERYONE BENEFITS

Control the data. Not the tools.

Users keep their AI tools. Boundary controls what company data those tools can access. No extensions. No MDM. No change in behaviour.

AI works better with safe context.

Users Get Freedom

Their tools. Their data. No compromise.

Keep using ChatGPT, Claude, Microsoft Copilot or Mistral. Live connections to your CRM, calendar and mail replace copy-paste with real, contextual data. No new interfaces. No forced migration. The AI just works better.

IT Gets Control

Visibility. Classification. Audit.

Every field classified before it leaves the organisation. PII tokenised or withheld. Full cross-platform audit trail. Revoke access in one click when someone leaves.