Clustered 2 filings across 2 jurisdictions · filed Nov 20, 2025. View entity profile → Other incidents for this victim →
incident inc_90f49acbd41f4528 · 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.
IN NH
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Jun 15, 2025
When the intrusion reportedly occurred, per the linked filings
Jun 16, 2025
Reported by NEW HAMPSHIRE AG filing
The Society of Certified Insurance Counselors Inc dba Risk & Insurance Education reported a data breach to the Indiana Attorney General. The breach occurred on 2025-06-15 and was reported on 2025-11-20. 6 Indiana residents were affected. 438 individuals affected in total.
Affected (this filing): 438
The Society of Certified Insurance Counselors Inc. (dba Risk & Insurance Education Alliance) notified the New Hampshire Attorney General of a data event affecting 5 NH residents. Between June 15-16, 2025, an unauthorized actor accessed a company email account via valid credentials and downloaded files from SharePoint containing names and Social Security numbers. SCIC disabled the account, engaged third-party specialists, and provided 12 months of credit monitoring to affected individuals. Notices were sent on November 20, 2025.
Affected (this filing): 5
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.