Approved — internal
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Meridian State UniversityResearch Computing
Restricted Internal
AI System Card

Secure Research AI Cluster

Document typeAI System CardVersion1.2
OwnerResearch ComputingApproverAI Governance Committee + ISO
Data classConfidential & RegulatedVisibilityRestricted Internal
Last reviewed2026-03-30Next review2026-06-30

1. System purpose & scope

An on-prem GPU environment for AI on sensitive and regulated research data. It runs open-weight models locally so that data never leaves the cluster boundary. Scope covers compute, storage, and the access pathway for approved studies.

2. Architecture

Isolated GPU nodes in a segmented network. Models run locally; there are no outbound calls to vendor inference APIs. Job scheduling and encrypted storage are managed by Research Computing.

3. Identity & access controls

Allocation
Per-project, time-boxed to the approved study period.
Authentication
Multi-factor authentication; least-privilege roles.
Segregation
Per-project data isolation; no cross-project access.

4. Security & privacy controls

  • Network isolation and encrypted storage at rest
  • Full audit logging and data-egress prevention
  • Access recertification on a defined cycle

5. Governance boundary

Approved for Confidential and Regulated data under an IRB protocol and data-use agreement. General-purpose chat is out of scope — that belongs on Meridian GPT.

6. Review history

2026-03-30 · v1.2
Penetration test re-run; egress controls re-validated.
2025-09-12 · v1.0
Initial accreditation and governance approval.
Review & approval
System owner — Research Computing
Information Security Office
AI Governance Committee
Date approved

Fictional example document for demonstration. Use Print / Save as PDF to export just the document.