Clustered 2 filings across 2 jurisdictions · filed May 12, 2025. View entity profile → Other incidents for this victim →
incident inc_a9994f2312a349a5 · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
Range of discovered_at dates across filings
ME VT
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
Sep 20, 2024
When the intrusion reportedly occurred, per the linked filings
Mar 12, 2025
Reported by VERMONT AG filing
Mar 17, 2025
Reported by MAINE AG filing
Nazareth University notified consumers of a cybersecurity incident discovered March 12, 2025, involving unauthorized access to personal information including SSNs, names, addresses, and employment data. The incident likely occurred in September 2024. The university engaged forensic investigators and is offering 12 months of Experian IdentityWorks.
Nazareth University, an educational institution, reported a data breach affecting one Maine resident. The breach, attributed to insider wrongdoing, was discovered on March 17, 2025, and occurred on September 20, 2024. The university provided written notification to the affected individual on May 8, 2025, and offered 12 months of identity theft protection and credit monitoring services through Experian.
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.