American College of Emergency Physicians reported a data breach to the Montana Attorney General. The breach was reported on 2020-11-16. The breach occurred from 5/21/2020 to 9/22/2020. 9 Montana residents were affected.
Affected (this filing): 9
Clustered 2 filings across 2 jurisdictions · filing window Nov 16, 2020 → Nov 17, 2020. View entity profile → Other incidents for this victim →
incident inc_1fb71f389327453a · merge_method llm · confidence 44%
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.
Financial account · Financial credentials
ME MT
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
May 21, 2020
When the intrusion reportedly occurred, per the linked filings
Sep 24, 2020
Reported by MAINE AG filing
American College of Emergency Physicians reported a data breach to the Montana Attorney General. The breach was reported on 2020-11-16. The breach occurred from 5/21/2020 to 9/22/2020. 9 Montana residents were affected.
Affected (this filing): 9
An external system breach at the American College of Emergency Physicians (ACEP) that occurred on May 21, 2020, and was discovered on September 24, 2020, compromised the financial account or credit/debit card numbers (with access codes) of 1,938 individuals, including 16 Maine residents.
Affected (this filing): 16
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.