Brighton Collectibles LLC reported a data breach to the Montana Attorney General. The breach was reported on 2019-03-22. The breach occurred from 1/28/2019 to 2/15/2019. 16 Montana residents were affected.
Affected (this filing): 16
Clustered 2 filings across 2 jurisdictions · filed Mar 22, 2019. View entity profile → Other incidents for this victim →
incident inc_65bd40ac16774e3b · 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.
CA MT
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Jan 28, 2019
When the intrusion reportedly occurred, per the linked filings
Mar 7, 2019
Reported by CALIFORNIA AG filing
Brighton Collectibles LLC reported a data breach to the Montana Attorney General. The breach was reported on 2019-03-22. The breach occurred from 1/28/2019 to 2/15/2019. 16 Montana residents were affected.
Affected (this filing): 16
Brighton Collectibles, LLC reported a data breach affecting credit card transaction data processed between January 28, 2019, and February 15, 2019. An unauthorized individual gained access to the company's website, potentially accessing customer names, payment card numbers, expiration dates, and security codes. The company engaged a forensic investigation firm and enhanced security protocols.
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.