Valley Mountain Regional Center is a private company that serves children and adults with developmental disabilities. Data: 147GB (medical record, passports, SSNs, accounting, financial documents).Soon.
Clustered 2 filings across 2 jurisdictions · filing window Aug 31, 2023 → Sep 29, 2023. View entity profile → Other incidents for this victim →
incident inc_53c9c4cc4b64475b · merge_method deterministic · confidence 100%
Gap between first leak claim and first regulatory filing
Time between earliest and latest filing
Not recorded for this incident
Discovery variance · Materiality delta · SEC filing delay — no SEC 8-K in this cluster; needs two dated filings.
CA
Leak Site · HHS OCR
Earliest sighting first · deep chronology in Litigation Timeline
Valley Mountain Regional Center is a private company that serves children and adults with developmental disabilities. Data: 147GB (medical record, passports, SSNs, accounting, financial documents).Soon.
Valley Mountain Regional Center reported to HHS on 2023-09-29 a Hacking/IT Incident affecting 126,679 individuals. Breached information located on Network Server. The incident involved names, addresses, birthdates, Social Security numbers, driver's license numbers, and diagnoses. The covered entity updated administrative and technical safeguards in response.
Affected (this filing): 126,679
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.