The Problem
"We have 50+ AI vendors knocking on our door. Radiology wants one thing, pathology wants another, nursing wants three more. My team can barely keep up with regular security reviews, let alone AI-specific risk assessments."
— Health System CISO
No Time
Security teams are stretched thin. Every new AI vendor means another 40-page security questionnaire to review.
No Playbook
Traditional security frameworks weren't built for AI. SOC 2 doesn't cover hallucination risk or model drift.
Real Risk
One AI hallucination in a clinical note. One data leak to an LLM provider. The liability lands on you.
Beyond Compliance
"Compliance" is too small a word for what you need. You need a system that covers the full AI vendor lifecycle: intake, governance, monitoring, compliance, and action.
Intake
Standardized AI vendor assessment. Know what questions to ask before clinical teams commit to a pilot.
Governance
Clear policies for AI use. Which vendors are approved, for what use cases, with what data access.
Monitoring
Ongoing visibility into vendor AI behavior. Are they doing what they said they'd do? Is performance drifting?
Compliance
Evidence that vendors meet HIPAA, state AI laws, and your internal policies. Not attestations—proof.
Action
When something goes wrong, you need to act fast. Incident response, vendor remediation, documentation.
How GLACIS Helps
AI Vendor Assessment Framework
We help you build a repeatable process for evaluating AI vendors. Not generic IT security—AI-specific risk assessment.
- Standardized questionnaire for AI vendors
- Risk scoring methodology
- Red flags to watch for
Evidence Requirements
Know what proof to demand from vendors. Policy docs aren't enough—you need evidence their controls actually work.
- Attestation reports (controls ran, not just exist)
- Model performance documentation
- Data handling proofs
Governance Policy Templates
Don't start from scratch. We provide policy frameworks tailored for health system AI governance.
- AI acceptable use policy
- Vendor approval workflow
- Incident response playbook
Ongoing Support
AI governance isn't a one-time project. Regulations change. Vendors update their systems. We help you stay current.
- Regulatory updates (Colorado, EU AI Act, state laws)
- Vendor re-assessment triggers
- Best practices from peer health systems
What’s Coming
State and federal regulators are moving fast. Health systems that deploy AI without proper governance are taking on significant liability.
| Regulation | Impact | Date |
|---|---|---|
| Colorado AI Act | Impact assessments for high-risk AI in healthcare | Feb 2026 |
| Texas HB 1709 | Written disclosure to patients when AI used | Jan 2026 |
| EU AI Act | High-risk classification for most healthcare AI | Aug 2026 |
| HHS HIPAA Update | AI systems must be in risk analysis | Proposed |
Let’s Talk About Your AI Governance Challenges
No sales pitch. Just a conversation about the challenges you're facing with AI vendor evaluation and governance.
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