Whitefish School District reported a data breach to the Montana Attorney General. The breach was reported on 2022-04-05. The breach occurred on 3/11/2022. 1,663 Montana residents were affected.
Affected (this filing): 1,663
Clustered 2 filings across 2 jurisdictions · filed Apr 5, 2022. View entity profile → Other incidents for this victim →
incident inc_aae517155839436b · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
Time between earliest and latest filing
Not recorded for this incident
Discovery variance · Leak precedence · Materiality delta · SEC filing delay — no leak-site claim in this cluster; no SEC 8-K in this cluster; needs two dated filings.
ME MT
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Mar 11, 2022
When the intrusion reportedly occurred, per the linked filings
Mar 14, 2022
Reported by MAINE AG filing
Whitefish School District reported a data breach to the Montana Attorney General. The breach was reported on 2022-04-05. The breach occurred on 3/11/2022. 1,663 Montana residents were affected.
Affected (this filing): 1,663
Whitefish School District reported a cybersecurity incident occurring on March 11, 2022, discovered on March 14, 2022. The breach compromised the names and Social Security Numbers of 1,755 individuals, including one Maine resident. The district notified affected individuals electronically on April 5, 2022, and provided 12 months of credit monitoring services via Experian.
Affected (this filing): 1,755
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.