Education · Arizona, United States · 6,208 EmployeesFounded in 1867, the Tucson Unified School District is headquartered in Tucson, Arizona.
Clustered 3 filings across 3 jurisdictions · filing window Feb 10, 2023 → Aug 25, 2023. View entity profile → Other incidents for this victim →
incident inc_10aaeb87a5ba4124 · merge_method human · confidence 100%
Discovered → first regulatory filing
Gap between first leak claim and first regulatory filing
Time between earliest and latest filing
Not recorded for this incident
Discovery variance · Materiality delta · SEC filing delay — no SEC 8-K in this cluster; needs two dated filings.
MT VT
Leak Site · State AG
Earliest sighting first · deep chronology in Litigation Timeline
Jan 20, 2023
When the intrusion reportedly occurred, per the linked filings
Jan 20, 2023
Reported by VERMONT AG filing
Education · Arizona, United States · 6,208 EmployeesFounded in 1867, the Tucson Unified School District is headquartered in Tucson, Arizona.
Tucson Unified School District reported a data breach to the Montana Attorney General. The breach was reported on 2023-08-25. The breach occurred on 1/20/2023. 3 Montana residents were affected.
Affected (this filing):
Tucson Unified School District notified consumers of a January 2023 cyber incident involving unauthorized network access. The breach may have exposed names. TUSD contained the threat, engaged forensic investigators, and offered IDX identity theft protection services. No evidence of misuse was found at the time of notice.
About this clustering
DisclosureLens links filings into incidents through layered matchers: deterministic rules (same source document, multistate filings of one breach, tight-window same-victim pairs), a weighted-similarity scorer for cross-source candidates, and an operator review queue for everything uncertain. Each link records its own method and confidence — shown per filing in the timeline below. The system defaults to NOT merging when uncertain, because a false merge (collapsing two unrelated breaches) is more harmful than a false split (showing related filings separately); uncertain pairs route to human review instead of auto-merging. Filing summaries shown in the timeline are AI-generated extracts — verify each against its linked source.