Clustered 2 filings across 2 jurisdictions · filing window May 25, 2026 → May 28, 2026. View entity profile → Other incidents for this victim →
incident inc_b1e953cb19f34e18 · merge_method deterministic · confidence 100%
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.
PII · Identity (basic)
IN ME
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Apr 27, 2026
When the intrusion reportedly occurred, per the linked filings
Apr 28, 2026
Reported by MAINE AG filing
PRN Healthcare reported an inadvertent disclosure of personal information affecting 650 individuals, including 1 Maine resident. The incident occurred on April 27, 2026, and was discovered the following day. Written notifications were sent on May 28, 2026, and 12 months of identity theft protection services were offered to affected individuals.
Affected (this filing): 650
PRN Healthcare reported a data breach to the Indiana Attorney General. The breach occurred on 2026-04-28 and was reported on 2026-05-28. 16 Indiana residents were affected. 650 individuals affected in total.
Affected (this filing): 650
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.