Why does governing before inference matter more than filtering afterwards?

Output filtering inspects a result already formed from whatever was supplied, so its reliability depends on recognizing every problematic formulation a model might generate — an open-ended obligation that cannot be fully tested. Input governance operates on a closed, enumerable set: eligible records, eligible instructions, resolved identity.

Centralpoint applies classification and redaction during ingestion, so the embedding layer receives only approved material, and loads governance-tier skills ahead of any retrieved content so they cannot be displaced by it. 451 Research identified this ordering as the structural difference from platforms filtering at query time, and noted it is not something newer entrants can easily retrofit.