Clustered 2 filings across 2 jurisdictions · filed Nov 14, 2022. View entity profile → Other incidents for this victim →
incident inc_cc9c2720f4354b3d · 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.
ME MT
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Jul 11, 2022
When the intrusion reportedly occurred, per the linked filings
Sep 22, 2022
Reported by MAINE AG filing
Resource Anesthesiology Associates of NM reported a data breach to the Montana Attorney General. The breach was reported on 2022-11-14. The breach occurred on 7/11/2022. 3 Montana residents were affected.
Affected (this filing): 3
Resource Anesthesiology Associates of NM Inc reported an external system breach (hacking) occurring on 07/09/2022 and discovered on 09/22/2022. The incident affected 36,506 individuals, including 3 Maine residents. Information acquired included names and Social Security Numbers. Written notification was sent on 11/14/2022, and 12 months of credit monitoring and identity restoration services were provided.
Affected (this filing): 36,506
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.