Clustered 2 filings across 2 jurisdictions · filed Feb 14, 2023. View entity profile → Other incidents for this victim →
incident inc_9880912276aa466c · 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 NH
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Dec 15, 2022
When the intrusion reportedly occurred, per the linked filings
Dec 15, 2022
Reported by NEW HAMPSHIRE AG filing
Michael & Son Services Inc. reported a data breach to the Montana Attorney General. The breach was reported on 2023-02-14. The breach occurred on 12/15/2022. 1 Montana residents were affected.
Affected (this filing): 1
Michael & Son Services Inc. notified the NH AG of a suspected cyber event discovered on Dec 15, 2022. Forensic investigation could not confirm unauthorized access to personal information. Out of caution, the company notified ~1 NH resident whose name, SSN, and possibly driver's license/passport numbers may have been involved. No evidence of misuse was found. The company offered credit monitoring and identity protection services.
Affected (this filing): 1
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.