Kaye-Smith Enterprises, Inc. reported a data breach to the Montana Attorney General. The breach was reported on 2022-12-09. The breach occurred from 5/18/2022 to 6/2/2022. 15 Montana residents were affected.
Affected (this filing): 15
Clustered 2 filings across 2 jurisdictions · filing window Dec 9, 2022 → Dec 15, 2022. View entity profile → Other incidents for this victim →
incident inc_89293ff3b6ff49c1 · 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.
MT NH
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
May 18, 2022
When the intrusion reportedly occurred, per the linked filings
May 30, 2022
Reported by NEW HAMPSHIRE AG filing
Kaye-Smith Enterprises, Inc. reported a data breach to the Montana Attorney General. The breach was reported on 2022-12-09. The breach occurred from 5/18/2022 to 6/2/2022. 15 Montana residents were affected.
Affected (this filing): 15
Kaye-Smith Enterprises, Inc. reported a ransomware attack in late May 2022 affecting personal information of individuals for whom it processed mail as a service provider for MultiCare. Compromised data included names, addresses, and Social Security Numbers. The company engaged outside experts, enhanced security monitoring, and provided two years of Equifax Credit Watch Gold to affected individuals.
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.