Clustered 2 filings across 2 jurisdictions · filing window Jul 28, 2025 → Aug 4, 2025. View entity profile → Other incidents for this victim →
incident inc_73afafe59e304744 · 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
Sep 30, 2024
When the intrusion reportedly occurred, per the linked filings
Sep 30, 2024
Reported by NEW HAMPSHIRE AG filing
Edwardsburg Public School reported a data breach to the Indiana Attorney General. The breach occurred on 2024-09-30 and was reported on 2025-07-28. 879 Indiana residents were affected. 6,978 individuals affected in total.
Affected (this filing): 6,978
Edwardsburg Public Schools notified the New Hampshire Attorney General of unauthorized network access occurring on or around September 30, 2024. The incident compromised the names and Social Security numbers of approximately two New Hampshire residents. The school offered one year of complimentary credit monitoring via Experian IdentityWorks and advised residents on fraud alerts and security freezes. Notification to residents began July 28, 2025.
Affected (this filing): 2
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.