Cyprexx Services, LLC reported a data breach to the Montana Attorney General. The breach was reported on 2021-11-10. The breach occurred from 5/20/2021 to 6/10/2021. 1 Montana residents were affected.
Affected (this filing): 1
Clustered 2 filings across 2 jurisdictions · filed Nov 10, 2021. View entity profile → Other incidents for this victim →
incident inc_89d8b0aaf2354e4f · 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.
ME MT
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
May 20, 2021
When the intrusion reportedly occurred, per the linked filings
Sep 15, 2021
Reported by MAINE AG filing
Cyprexx Services, LLC reported a data breach to the Montana Attorney General. The breach was reported on 2021-11-10. The breach occurred from 5/20/2021 to 6/10/2021. 1 Montana residents were affected.
Affected (this filing): 1
Cyprexx Services, LLC, a financial services provider, reported an external system breach (hacking) occurring between May 20 and June 10, 2021, discovered on September 15, 2021. The incident compromised names and Social Security Numbers of 432 individuals, including 3 Maine residents. Cyprexx provided 12 months of credit monitoring and identity restoration services through Experian to affected parties.
Affected (this filing): 432
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.