Air T, Inc reported a data breach to the Montana Attorney General. The breach was reported on 2023-01-30. The breach occurred from 4/17/2022 to 4/30/2022. 1 Montana residents were affected.
Affected (this filing): 1
Clustered 2 filings across 2 jurisdictions · filed Jan 30, 2023. View entity profile → Other incidents for this victim →
incident inc_976823eb8d3a46ba · merge_method llm · confidence 44%
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.
Financial account · Identity (basic)
ME MT
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Apr 17, 2022
When the intrusion reportedly occurred, per the linked filings
Oct 28, 2022
Reported by MAINE AG filing
Air T, Inc reported a data breach to the Montana Attorney General. The breach was reported on 2023-01-30. The breach occurred from 4/17/2022 to 4/30/2022. 1 Montana residents were affected.
Affected (this filing): 1
Air T, Inc. experienced an external system breach on April 17, 2022, which was discovered on October 28, 2022. The breach compromised the names and financial account numbers or credit/debit card numbers of 1,604 individuals, including one resident of Maine. Affected individuals were notified on January 30, 2023, and offered 12 months of identity theft protection 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.