Riverside Medical Group reported a data breach to the Montana Attorney General. The breach was reported on 2022-09-27. The breach occurred on 8/3/2022. 1 Montana residents were affected.
Affected (this filing): 1
Clustered 2 filings across 2 jurisdictions · filed Sep 27, 2022. View entity profile → Other incidents for this victim →
incident inc_d8ab19f38e2246e5 · 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.
MT NH
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Aug 3, 2022
When the intrusion reportedly occurred, per the linked filings
Aug 3, 2022
Reported by NEW HAMPSHIRE AG filing
Riverside Medical Group reported a data breach to the Montana Attorney General. The breach was reported on 2022-09-27. The breach occurred on 8/3/2022. 1 Montana residents were affected.
Affected (this filing): 1
Riverside Medical Group (part of Optum) notified the New Hampshire Attorney General on September 27, 2022, of a data breach affecting 7 NH residents. On August 3, 2022, an independent legacy server containing patient immunization records and PII (including SSNs for 1 resident) was compromised. The server was locked down, and notifications were sent on September 30, 2022. No actual misuse was identified.
Affected (this filing): 7
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.