Clustered 2 filings across 2 jurisdictions · filing window Oct 2, 2023 → Oct 5, 2023. View entity profile → Other incidents for this victim →
incident inc_f7fb4b369fa94312 · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
Range of discovered_at dates across filings
PHI · Health (basic) · Identity (basic)
Time between earliest and latest filing
Not recorded for this incident
Leak precedence · Materiality delta · SEC filing delay — no leak-site claim in this cluster; no SEC 8-K in this cluster.
CA WA
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Feb 17, 2023 → Feb 22, 2023
When the intrusion reportedly occurred, per the linked filings
Feb 22, 2023
Reported by CALIFORNIA AG, WASHINGTON AG filings
Great Expressions Dental Centers notified patients that an unauthorized party accessed systems between Feb 17-22, 2023. The incident, discovered on Feb 22, potentially exposed PHI including names, DOB, contact info, diagnosis, treatment info, x-rays, and billing records. The company engaged forensic investigators, secured systems, and offered two years of identity monitoring via Kroll.
Great Expressions Dental Centers, a health sector entity reported a ransomware incident to the Washington Attorney General. The organization became aware of the incident on 2023-02-22 and filed notice on 2023-10-05. 587 Washington residents were affected. 225 days elapsed between awareness and notification. 5 days to identify the breach. 0 days to contain the breach.
Affected (this filing): 587
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.