Alta Forest Products, LLC reported a data breach to the Montana Attorney General. The breach was reported on 2022-10-31. The breach occurred from 8/17/2022 to 8/31/2022. 34 Montana residents were affected.
Affected (this filing): 34
Clustered 2 filings across 2 jurisdictions · filing window Oct 31, 2022 → Nov 1, 2022. View entity profile → Other incidents for this victim →
incident inc_a12872a4ce0345e3 · 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.
MT WA
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Aug 17, 2022
When the intrusion reportedly occurred, per the linked filings
Sep 1, 2022
Reported by WASHINGTON AG filing
Alta Forest Products, LLC reported a data breach to the Montana Attorney General. The breach was reported on 2022-10-31. The breach occurred from 8/17/2022 to 8/31/2022. 34 Montana residents were affected.
Affected (this filing): 34
Alta Forest Products, LLC, a business sector entity reported a unauthorized access incident to the Washington Attorney General. The organization became aware of the incident on 2022-09-01 and filed notice on 2022-11-01. 1,635 Washington residents were affected. 61 days elapsed between awareness and notification. 10 days to identify the breach. 0 days to contain the breach.
Affected (this filing): 1,635
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.