ZANUS AI FOR UNIVERSITY & RESEARCH — FERPA & SECURITY
Student records, personnel files, unpublished research: a university’s data anxieties are plural. The answer is architecture: admin-created accounts, permissions to the field level, server-side redaction, a searchable audit trail, and an on-premises option where sensitive data never touches the internet.
Private tenant or your own servers · unlimited users · FERPA-conscious handling

One record per user: role, tags, and granular permissions over every domain of the system.
The server redacts what a role cannot see — a student worker scheduling appointments sees the slot, not the record. FERPA-conscious handling, enforced in code.
A searchable log of every audited action, with configurable categories: who saw what record, who changed what, when.
Five-level workgroups map colleges, departments and labs; the on-premises option puts the whole system inside your facilities, air-gap capable, multi-campus ready.
When the question comes — from a sponsor, an accreditor or your own records office — the answer is a search away: access records, document trails, update history, all in one place. Automatic pre-update snapshots mean even a mistaken change can be rolled back.

In your isolated tenant — never training outside models — or fully on-premises on hardware the institution owns, physically incapable of internet exposure.
The handling is FERPA-conscious by architecture: isolation, field-level permissions, redaction and audit. Compliance specifics are reviewed with your records and legal teams during onboarding — bring your compliance officer to the demo.
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