US Med, LLC reported a data breach to the Montana Attorney General. The breach was reported on 2020-11-30. The breach occurred on 10/14/2020. 2 Montana residents were affected.
Affected (this filing): 2
Clustered 2 filings across 2 jurisdictions · filed Nov 30, 2020. View entity profile → Other incidents for this victim →
incident inc_201e4d8e2c424e97 · merge_method deterministic · confidence 100%
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.
FL MT
HHS OCR · State AG
Earliest sighting first · deep chronology in Litigation Timeline
Oct 14, 2020
When the intrusion reportedly occurred, per the linked filings
US Med, LLC reported a data breach to the Montana Attorney General. The breach was reported on 2020-11-30. The breach occurred on 10/14/2020. 2 Montana residents were affected.
Affected (this filing): 2
US Med, LLC (FL) reported to HHS on 2020-11-30 a ransomware attack affecting the ePHI of 685 individuals. Breached information was located on a Network Server. ePHI involved included names, addresses, dates of birth, prescription and medical device information, diagnoses, lab results, and other treatment information. The CE notified HHS and affected individuals, and strengthened technical safeguards in response.
Affected (this filing): 685
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.