A police records bureau prioritizes remediation from data access governance output before enabling Copilot widely. Why is that a sound sequence?

A police records bureau that remediates issues found in data access governance output before enabling Copilot widely follows a sound sequence because cleaning oversharing reduces content Copilot could unexpectedly surface after enablement. DAG findings highlight excessive access; fixing those grants shrinks the permission set Copilot can ground on for everyday users. Governance-first, then AI expansion, lowers surprise disclosure risk for sealed or restricted police records.

Saying that reviewing permission inheritance in DAG reports helps prioritize sensitivity labels for police record libraries misses the point; the issue is oversharing that Copilot can surface, not sensitivity-label prioritization, and it leaves excessive access in place. Using DAG insights to apply retention labels supports Copilot summaries aligned with police disposition schedules, but that confuses retention with access governance and does not remediate the oversharing Copilot could expose. Consolidating DAG reports into audit log searches improves Copilot citation accuracy for case files, yet that addresses reporting and citations, not the prerequisite of removing broad access before Copilot enablement. Those options fail by concept and would increase or invent risk.

Exam caveat: AB-900 repeatedly ties Copilot readiness to fixing oversharing first. DAG informs what to remediate; Copilot still respects permissions afterward. Do not invert the sequence by enabling Copilot broadly on known overshared records sites.

Operational check: Export DAG findings for records sites, remediate Everyone/Anyone and oversized group grants, validate with a least-privilege test account that sealed content is unreachable, then enable Copilot for a pilot cohort. Re-check DAG monthly during rollout and pause expansion if new broad-sharing spikes appear.