Clustered 2 filings across 2 jurisdictions · filing window Jul 31, 2025 → Aug 4, 2025. View entity profile → Other incidents for this victim →
incident inc_e301f12581384af5 · 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.
IN NH
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Nov 4, 2024
When the intrusion reportedly occurred, per the linked filings
Nov 4, 2024
Reported by NEW HAMPSHIRE AG filing
Good Samaritan Health Center of Cobb notified the NH AG of a cybersecurity incident discovered on Nov 4, 2024. Unauthorized access potentially exposed patient PII, SSNs, financial info, and PHI. One NH resident affected. Response included forensic investigation, system security enhancements, and 12 months of credit monitoring.
Affected (this filing): 1
Good Samaritan Health Center of Cobb reported a data breach to the Indiana Attorney General. The breach occurred on 2024-11-02 and was reported on 2025-08-04. 2 Indiana residents were affected. 11,912 individuals affected in total.
Affected (this filing): 11,912
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.