Clustered 2 filings across 2 jurisdictions · filing window Oct 25, 2024 → Jan 3, 2025. View entity profile → Other incidents for this victim →
incident inc_e9d82c35f7f54f4c · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
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 · State AG
Earliest sighting first · deep chronology in Litigation Timeline
Oct 21, 2024 → Oct 22, 2024
When the intrusion reportedly occurred, per the linked filings
Oct 22, 2024
Reported by CALIFORNIA AG filing
Medical records and personal data of all patients from 2021 Company representative should follow the instructions to contact us before time runs out https://pacificpulm.com/
Pacific Pulmonary Medical Group experienced a data incident involving compromised employee credentials to a third-party scheduling software. The incident occurred between October 21 and October 22, 2024, and was discovered on October 22, 2024. Personal information potentially affected includes identity and health data. The organization engaged a cybersecurity firm, notified law enforcement, and is offering credit monitoring services to affected individuals.
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.