Clustered 2 filings across 2 jurisdictions · filing window Feb 21, 2012 → Feb 22, 2012. View entity profile → Other incidents for this victim →
incident inc_82e904a142924ab1 · merge_method deterministic · confidence 100%
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.
Government ID · Identity (basic) · Financial account
CA NH
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Nov 26, 2011
When the intrusion reportedly occurred, per the linked filings
State of New Hampshire Attorney General's office received a notification from Trident University regarding a cybersecurity incident. The filing is dated February 22, 2012. The provided document text is largely empty or garbled, containing no specific details regarding the nature of the breach, data types affected, or number of individuals impacted.
Trident University International reported a cybersecurity incident on November 26, 2011, where an unauthorized individual gained access to the network. The attacker stole student and employee data, including government IDs and financial account numbers. The university engaged forensic investigators, offered one year of credit monitoring and identity theft protection, and implemented additional security safeguards.
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.