Centerspace, LP reported a data breach to the Montana Attorney General. The breach was reported on 2022-07-14. The breach occurred on 11/11/2021. 267 Montana residents were affected.
Affected (this filing): 267
Clustered 2 filings across 2 jurisdictions · filed Jul 14, 2022. View entity profile → Other incidents for this victim →
incident inc_213f964ed4d44812 · merge_method human · 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.
ME MT
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Nov 11, 2021
When the intrusion reportedly occurred, per the linked filings
Jul 1, 2022
Reported by MAINE AG filing
Centerspace, LP reported a data breach to the Montana Attorney General. The breach was reported on 2022-07-14. The breach occurred on 11/11/2021. 267 Montana residents were affected.
Affected (this filing): 267
Centerspace, LP reported an external system breach that occurred on October 17, 2021, and was discovered on July 1, 2022. The breach compromised names and driver's license or non-driver identification card numbers for 8,190 individuals, including two Maine residents. The company provided written notification to affected individuals on July 14, 2022, and offered 12 months of credit monitoring and identity restoration services.
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.