Clustered 2 filings across 1 jurisdiction · filing window Jun 27, 2025 → Jul 17, 2025. View entity profile → Other incidents for this victim →
incident inc_6829ef34fe88484d · merge_method llm · confidence 81%
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.
Government ID · PHI · PII
TX
HHS OCR · State AG
Earliest sighting first · deep chronology in Litigation Timeline
Jun 13, 2025
Reported by TEXAS AG filing
PET Imaging of Dallas Northeast reported to HHS on 2025-06-27 a Hacking/IT Incident affecting 1935 individuals. Breached information located on Email.
Affected (this filing): 1,935
PET Imaging of Dallas Northeast based in Garland, Texas, a healthcare – medical provider entity reported a data breach to the Texas Attorney General. The breach was discovered on 2025-06-13 and reported on 2025-07-17. 1,875 Texas residents were affected. 1,935 individuals affected in total. Types of information involved: Name of individual;Address;Social Security Number Information;Medical Information;Health Insurance Information. Consumers were notified via U.S. Mail.
Affected (this filing): 1,875
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.