Clustered 2 filings across 2 jurisdictions · filing window Oct 18, 2021 → Oct 19, 2021. View entity profile → Other incidents for this victim →
incident inc_79781709f684463c · 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.
Government ID · Identity (basic)
ME MT
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
May 23, 2021
When the intrusion reportedly occurred, per the linked filings
Jun 1, 2021
Reported by MAINE AG filing
Greater New York Mutual Insurance Company reported an external system breach (hacking) occurring on 05/23/2021 and discovered on 06/01/2021. The incident compromised names and driver's license numbers of 33,959 individuals, including 41 Maine residents. The company provided 24 months of credit monitoring and identity theft insurance through CyberScout.
Affected (this filing): 33,959
Greater New York Mutual Insurance Company reported a data breach to the Montana Attorney General. The breach was reported on 2021-10-19. The breach occurred from 5/23/2021 to 6/1/2021. 3 Montana residents were affected.
Affected (this filing): 3
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.