Clustered 2 filings across 2 jurisdictions · filed Nov 20, 2023. View entity profile → Other incidents for this victim →
incident inc_e3f3be232ddd44e8 · 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
Mar 13, 2023
When the intrusion reportedly occurred, per the linked filings
Mar 13, 2023
Reported by NEW HAMPSHIRE AG filing
Southwest Behavioral Health Center reported a data breach to the Montana Attorney General. The breach was reported on 2023-11-20. The breach occurred on 3/13/2023. 103 Montana residents were affected.
Affected (this filing): 103
Southwest Behavioral Health Center (SBHC) notified the New Hampshire Attorney General on November 20, 2023, of a cybersecurity incident discovered on March 13, 2023. The breach affected 3 New Hampshire residents, potentially exposing personal information. SBHC engaged forensic investigators, notified the FBI, and sent notification letters offering credit monitoring and identity theft protection services.
Affected (this filing): 3
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.