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AI that works should be AI you can prove works

Security teams don't trust policy documents. They trust evidence. We help AI teams generate proof their controls actually ran — not just that policies exist.

Pango presenting the GLACIS proof flow

The problem

Policy ≠ Proof

A Google Doc saying "we follow best practices" doesn't prove your AI won't hallucinate, leak data, or make undocumented decisions. Security teams know this.

Pango confused by documentation

Logs Can Be Altered

Traditional audit trails prove logs exist. They don't prove controls actually executed before data hit the model.

Audits Sample Too Few

Annual audits check a fraction of interactions. What about the other 99.9%? You can't prove what you didn't observe.

Controls Can Be Bypassed

If your safety controls are optional — if there's a path around them — you can't prove they ran for every request.

The insight

What if proof was unavoidable?

The problem isn't that companies don't have controls. It's that there's no way to prove those controls actually executed. What if proof was generated automatically — at the moment your AI runs — in a way that can't be bypassed or tampered with?

Built into the infrastructure, not bolted on after

How it works

Your AI’s Guardian

Pango the guardian

A lightweight sidecar sits alongside your AI. Every interaction passes through. Every control execution gets a cryptographic receipt. No exceptions.

Step 1

Request arrives

Your AI receives a prompt or data input.

Step 2

Guardian intercepts

Controls execute: filtering, safety, PII detection.

Step 3

Receipt generated

Cryptographic proof: signed, timestamped, immutable.

Step 4

AI responds

Request proceeds. Receipt stored for verification.

Can't bypass

In the data path

Real-time

Proof at execution

Tamper-proof

Crypto signatures

~4ms

Zero slowdown

Who we help

AI teams in regulated industries

Healthcare AI

HIPAA, clinical workflows, patient data

Financial Services

SR 11-7, model risk, audit trails

Enterprise

Security reviews, vendor assessments

EU AI Act

High-risk AI compliance

“Compliance badges tell you what policies exist. GLACIS tells you what actually happened. That’s the difference between a claim and evidence.”

Joe Braidwood
Joe Braidwood
CEO, GLACIS · Previously SwiftKey (acquired by Microsoft)

As seen in

FAQ

Common questions

We already have SOC 2 / are working toward HITRUST.

Great — those cover IT controls. AI-specific assurance addresses model behavior, decision audit trails, and content safety risks that SOC 2 and HITRUST don't cover. They're complementary.

Is this just documentation? We can write docs ourselves.

Documentation is part of it, but the core value is proof. We generate verifiable evidence that your controls actually executed — something a policy document can't do.

What industries do you work with?

We work with AI teams in regulated industries including healthcare, financial services, insurance, and enterprise. The common thread is needing to prove AI controls work, not just that policies exist.

What if we're not ready for a full compliance program?

That's fine. We offer focused engagements for teams who need to unblock deals now. Start with what you need, expand later.

Pango celebrating

Let's Talk

30-minute call. No sales pitch — just a conversation about your challenges.

We usually respond within a day.