WM Symposia, Inc. reported a data breach to the Montana Attorney General. The breach was reported on 2022-10-19. The breach occurred from 1/1/2022 to 4/20/2022. 6 Montana residents were affected.
Affected (this filing): 6
Clustered 2 filings across 2 jurisdictions · filing window Oct 19, 2022 → Oct 24, 2022. View entity profile → Other incidents for this victim →
incident inc_e818029b90d14a8f · 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.
MT NH
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Jan 1, 2022
When the intrusion reportedly occurred, per the linked filings
WM Symposia, Inc. reported a data breach to the Montana Attorney General. The breach was reported on 2022-10-19. The breach occurred from 1/1/2022 to 4/20/2022. 6 Montana residents were affected.
Affected (this filing): 6
State of New Hampshire Attorney General breach notification filed by WM Symposia, Inc. on October 24, 2022. The attached consumer notification letter is empty (pages 1-6 contain only page separators). No breach details, dates, data types, or response actions are provided in the visible text.
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.