Clustered 2 filings across 1 jurisdiction · filing window Oct 15, 2020 → Oct 16, 2020. View entity profile → Other incidents for this victim →
incident inc_0b7383fd33774d6e · 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) · Health (basic) · Financial account
CA
HHS OCR · State AG
Earliest sighting first · deep chronology in Litigation Timeline
Center for Autism and Related Disorders (CARD) notified patients of a data security incident affecting limited patient health information, including contact details, date of birth, diagnosis/treatment info, and insurance details. No evidence of misuse was found. CARD implemented additional security safeguards and offered 12 months of identity theft protection via IDX.
Center for Autism and Related Disorders reported to HHS on 2020-10-16 a Hacking/IT Incident affecting 1440 individuals. Breached information located on Email. Employees were victims of an email phishing attack exposing ePHI including names, addresses, phone numbers, dates of birth, diagnoses, and health insurance information. The entity notified HHS, individuals, and media, and strengthened security safeguards.
Affected (this filing): 1,440
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.