🦬Montana State AGFirst filing
Filed May 11, 2020bd_3ae007d21dd332ae
Mille Lacs Health Systems reported a data breach to the Montana Attorney General. The breach was reported on 2020-05-11. The breach occurred from 8/26/2019 to 1/7/2020.
Clustered 2 filings across 2 jurisdictions · filed May 11, 2020. View entity profile → Other incidents for this victim →
incident inc_d112b1adc12043da · 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.
MN MT
HHS OCR · State AG
Earliest sighting first · deep chronology in Litigation Timeline
Aug 26, 2019
When the intrusion reportedly occurred, per the linked filings
Mille Lacs Health Systems reported a data breach to the Montana Attorney General. The breach was reported on 2020-05-11. The breach occurred from 8/26/2019 to 1/7/2020.
Mille Lacs Health System (MN) reported to HHS on 2020-05-11 a Hacking/IT Incident affecting 10,630 individuals. Several employees were victims of an email phishing scheme. PHI exposed included names, addresses, Social Security numbers, and clinical information. Breached information was located in Email. MLHS notified affected individuals, the media, and posted substitute notice. Credit monitoring and identity theft restoration services were offered. Additional safeguards and employee retraining were implemented.
Affected (this filing):
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.