ZANUS AI FOR BROADCASTING & MEDIA — RIGHTS & CUSTODY
Decades of footage, licensing contracts, talent agreements, unaired material: a media library is an asset and a liability at once. The answer is architecture: permissions to the field level, server-side redaction, a searchable audit trail, and an on-premises option where the archive never touches the internet.
Private tenant or your own servers · unlimited users · your archive stays yours

One record per user: role, tags, and granular permissions over every domain of the system.
The server redacts what a role cannot see — the intern searching the archive sees the aired material their role allows, not the unaired rushes or the talent contracts.
A searchable log of every audited action, with configurable categories: who pulled what clip, who changed what metadata, when.
Five-level workgroups map stations and departments; the on-premises option puts the whole system — archive included — inside your building, air-gap capable.
When the question comes — from a licensor, a lawyer or your own business office — the answer is a search away: the contract, the usage history, the access records, 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 station owns, physically incapable of internet exposure.
Libraries carry handling rules and permissions to the field level, so restricted material only surfaces to authorized roles. Your rights workflow specifics are reviewed during onboarding — bring your business-affairs lead to the demo.
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