Clustered 2 filings across 2 jurisdictions · filed Jan 5, 2023. View entity profile → Other incidents for this victim →
incident inc_eadd1d77cfbf45c7 · 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.
Identity (basic) · Government ID
ME NH
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Nov 7, 2022 → Nov 28, 2022
When the intrusion reportedly occurred, per the linked filings
Nov 25, 2022
Reported by MAINE AG filing
State AG breach notification filed by Vision Technologies in New Hampshire. The document provided is a consumer notification letter detailing identity theft protection resources, including credit monitoring, credit freezes, and fraud alerts. The specific incident details, dates, and data types are not present in this attachment.
Vision Technologies experienced an external system breach from November 7, 2022, to November 28, 2022, discovered on November 25, 2022. The breach compromised names and Social Security Numbers, affecting one Maine resident out of 2,111 total individuals. In response, the company offered 12 months of complimentary credit monitoring and identity theft protection services through Experian IdentityWorks.
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.