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Deltawall
Policy engine

Risk-adaptive guardrails, written as rules you can read.

Rules combine who, what and where: department, data class, destination and channel. They resolve by priority to one of five actions, and new rules run in simulation before they enforce anything.

The Deltawall policy manager with active rules evaluated by priority.
The rule model

Four conditions. Five actions.

Department
Any department in your directory
Data class
Any of the 25 classesUninspectable content
Destination
ChatGPTClaudeGeminiMicrosoft CopilotPerplexityDeepSeekGateway providers
Channel
BrowserGatewayDesktop MDM only
Actions
AllowLogWarnRedactBlockEvaluated by priority; the first terminal action wins. Warn can require a written justification to proceed.
Change control

Every rule change is safe to make.

1

Write

Build the rule in the console, as a sentence you can read back.

2

Simulate

Run it against live traffic in simulation. It records what it would have done and enforces nothing.

3

Promote

Switch it to enforce. The change is versioned, with who and when.

4

Distribute

Policy reaches every browser by polling with caching; revocation takes effect on the next poll, with no extension release.

Get started

See it stop real-looking data in a real browser.

A 30-minute technical walkthrough: a prompt redacted, a file stopped, the dashboard, and an evidence pack verified offline in front of you.

No slide deck. Synthetic data only.

The VU Amsterdam campus in the Zuidas at blue hour, lit windows reflected in a wet plaza with bicycles parked out front.
Where we are

Built in Amsterdam, at VU StartHub.

Deltawall works from VU StartHub, the startup hub of Vrije Universiteit Amsterdam, on campus in the Zuidas. Meet the team for a demo in person.

VU StartHub, NU Building
De Boelelaan 1111
1081 HV Amsterdam, the Netherlands