For Healthcare Organizations
Your AI footprint is growing — ambient scribes, clinical copilots, triage agents, autonomous workflows. Staying ahead of it takes more than policy documents and vendor questionnaires. It takes infrastructure that brings every AI system into view, applies the policies your team has already set, and keeps a durable record of what happened.
GLACIS is that infrastructure. Visibility across every AI system in production, runtime enforcement of your governance policies, and cryptographic evidence you can hand to any auditor — without patient data ever leaving your environment.
AI is already in your environment. In the agents your vendors ship. In the ambient scribes your clinicians use. In the workflows procurement approved two quarters ago. It’s in production whether or not a team is watching it.
Most oversight today is paper — approval forms, vendor questionnaires, quarterly attestations. None of it tells you what’s happening right now, or what happened last Tuesday at 2am when an agent made an unusual call.
GLACIS closes that gap. Live visibility. Runtime enforcement. Cryptographic records you can trust.
GLACIS creates a verifiable record every time your AI controls execute — without exposing patient data.
The GLACIS arbiter evaluates each request against your governance posture before the AI can proceed. PHI redaction, consent verification, content filtering — enforced inline.
Patient data is hashed locally. Only cryptographic commitments leave your environment. Designed to minimize BAA scope — consult your HIPAA analysis for your specific deployment.
Timestamped, third-party witnessed, cryptographically signed. Evidence auditors can verify independently.
Stop reconstructing what happened from logs and interviews. Every AI interaction that passes through your controls generates verifiable evidence automatically.
Audit prep becomes report generation, not archaeology.
Answer "how do we know our AI is safe?" with evidence, not assurances. Show them a dashboard of verified control executions, not a policy document.
Confidence backed by cryptographic proof.
No workflow changes. GLACIS observes your existing controls — it doesn’t replace them. Your clinicians keep working exactly as they do today.
Evidence generation is invisible to end users.
Give them what they actually want: proof that your governance isn’t just documented, it’s operational. Evidence they can verify without trusting your word.
Third-party verifiable, not self-attested.
If consent hasn’t been verified, the request doesn’t proceed. If PHI detection fails, the pipeline stops. GLACIS enforces your policies — it doesn’t just report on them.
You choose the failure mode. We enforce it.
This isn’t a policy. It’s architecture. GLACIS hashes data locally — the actual content physically cannot be transmitted.
Designed so GLACIS never has access to plaintext protected health information. Whether a BAA is required depends on your deployment configuration and HIPAA analysis.
The regulatory landscape for healthcare AI is shifting fast. The EU AI Act classifies most clinical AI as high-risk. State laws like the Colorado AI Act (June 2026) are proliferating. CMS and ONC are watching.
The common thread: regulators want evidence that governance actually happened, not just documentation that it was planned.
Organizations that can demonstrate operational AI governance — with verifiable evidence — will have a material advantage. Those that can’t will face increasing scrutiny.
We work with healthcare organizations to implement evidence infrastructure that fits your existing workflows. No rip-and-replace. No workflow disruption.