Clustered 2 filings across 2 jurisdictions · filed Oct 11, 2024. View entity profile → Other incidents for this victim →
incident inc_23a329f5df0d4b05 · 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.
Identity (basic) · Government ID · Health (basic)
CA MT
HHS OCR · State AG
Earliest sighting first · deep chronology in Litigation Timeline
MiCare Health Center submitted a data breach notification to the California Office of the Attorney General. The incident involved unauthorized access to patient records containing names, Social Security numbers, and dates of birth. The organization offered one year of complimentary Experian IdentityWorks monitoring and identity restoration services to affected individuals.
miCare Health Center (MT) reported to HHS on 2024-10-11 a Hacking/IT Incident affecting 2,766 individuals. Multiple employees were subjects of an email phishing scheme that compromised PHI including names, dates of birth, Social Security numbers, diagnoses/conditions, medications, and other treatment information. Breached information located in Email. The CE provided credit monitoring, implemented additional technical safeguards, and retrained staff on email security.
Affected (this filing): 2,766
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.