Confirmed breach. Intrusion Feb 7, 2022–Feb 8, 2022, discovered Feb 7, 2022 — the first regulatory filing landed 422 days later (flagged late). 2 individuals reported across the linked filings.
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.
Regulatory clocksVermont✗ VT AG >45 bdayFull clock table in Litigation Timeline
State AGConfirmedLifecycle stage 2 of 3: ConfirmedUnverified claimConfirmedEnforcedhigh sensitivity
Affected (total reported)
2
Data types
1
Government ID
Jurisdictions
2
MT VT
Linked filings
2
all State AG
Sensitive data
identity_government
Timeline
Earliest sighting first · deep chronology in Litigation Timeline
Breach window
Feb 7, 2022 → Feb 8, 2022
When the intrusion reportedly occurred, per the linked filings
Breach discovered
Feb 7, 2022
Reported by VERMONT AG filing
422 days
🍁Vermont State AGFirst filinglinked via multistate filing link · 100%
Northern Arizona University notified consumers of unauthorized access to employee email accounts between Feb 7-8, 2022. Investigation confirmed some consumer information (name, [Extra2]) was present in affected accounts. NAU engaged forensic specialists, notified regulators, and offered credit monitoring.
Northern Arizona University reported a data breach to the Montana Attorney General. The breach was reported on 2023-04-05. The breach occurred from 2/7/2022 to 2/8/2022. 2 Montana residents were affected.
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.