Clustered 2 filings across 2 jurisdictions · filing window Jan 22, 2026 → Jan 23, 2026. View entity profile → Other incidents for this victim →
incident inc_b566bdb5080044e3 · 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
Apr 4, 2025
When the intrusion reportedly occurred, per the linked filings
Sep 22, 2025
Reported by NEW HAMPSHIRE AG filing
Arthur Ashe Institute for Urban Health Inc reported a data breach to the Indiana Attorney General. The breach occurred on 2025-04-04 and was reported on 2026-01-22. 1 Indiana residents were affected. 995 individuals affected in total.
Affected (this filing): 995
Arthur Ashe Institute for Urban Health Inc. notified the New Hampshire Attorney General of a cyberattack occurring between April 4, 2025, and May 18, 2025. The incident involved unauthorized access to PII of 1 New Hampshire resident, including names, SSNs, driver's licenses, financial account info, and medical data. The organization detected the breach on September 22, 2025, implemented MFA, updated passwords, and provided 12 months of credit monitoring.
Affected (this filing): 1
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.