Davaco LP reported a data breach to the Montana Attorney General. The breach was reported on 2021-07-02. The breach occurred on 6/11/2021. 29 Montana residents were affected.
Affected (this filing): 29
Clustered 2 filings across 2 jurisdictions · filing window Jul 2, 2021 → Jul 19, 2021. View entity profile → Other incidents for this victim →
incident inc_6e26e865aa2c4216 · 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
Jun 11, 2021
When the intrusion reportedly occurred, per the linked filings
Jun 15, 2021
Reported by MAINE AG filing
Davaco LP reported a data breach to the Montana Attorney General. The breach was reported on 2021-07-02. The breach occurred on 6/11/2021. 29 Montana residents were affected.
Affected (this filing): 29
Davaco LP reported a data breach occurring on June 11, 2021, discovered on June 15, 2021. The incident affected 14,578 individuals, including 40 Maine residents. Compromised data included names combined with driver's license or non-driver identification numbers. Davaco provided written notification on July 2, 2021, and offered 12 months of complimentary credit and identity monitoring services through IDX.
Affected (this filing): 14,578
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.