Clustered 2 filings across 2 jurisdictions · filing window Jul 3, 2025 → Jul 7, 2025. View entity profile → Other incidents for this victim →
incident inc_a1039e858a58489b · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
Range of discovered_at dates across filings
ME NH
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.
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Mar 24, 2025
When the intrusion reportedly occurred, per the linked filings
Mar 24, 2025
Reported by MAINE AG, NEW HAMPSHIRE AG filings
Providence Mutual Fire Insurance Company reported a data breach affecting 8 Maine residents. The breach occurred and was discovered on March 24, 2025. Affected individuals were notified on July 3, 2025, and offered 12 months of credit monitoring and identity theft protection services through TransUnion. The total number of individuals affected, including those outside of Maine, was 304.
Affected (this filing): 8
Providence Mutual Fire Insurance notified the NH AG of unauthorized access to its email environment between March 24-25, 2025. The incident affected 8 NH residents, exposing names, SSNs, driver's license numbers, and financial account information. The company engaged forensic specialists, notified affected individuals on July 3, 2025, and offered 12 months of credit monitoring.
Affected (this filing): 8
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.