For Healthcare Organizations
Your team reviews every AI output. Your policies are thorough. Your controls are real. But when the board asks for evidence, you’re stuck with screenshots and attestation letters.
GLACIS gives you cryptographic proof that your AI controls actually work — without your patient data ever leaving your environment.
You've invested in AI governance. Human review workflows. Content filtering. Audit logging. The work is real.
But the evidence isn’t. When regulators or auditors ask how you know your controls work, you show them policy documents. Process diagrams. Maybe some logs that could have been generated anytime.
The gap isn’t in your controls. It’s in your ability to prove they ran.
GLACIS creates a verifiable record every time your AI controls execute — without exposing patient data.
PHI redaction, human review, content filtering — whatever you've built. GLACIS observes without interfering.
Patient data is hashed locally. Only cryptographic commitments leave your environment. No BAA required with GLACIS.
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.
This isn’t a policy. It’s architecture. GLACIS hashes data locally — the actual content physically cannot be transmitted.
No BAA required with GLACIS. We never have access to protected health information.
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.