Clustered 2 filings across 2 jurisdictions · filed Nov 9, 2023. View entity profile → Other incidents for this victim →
incident inc_2e025e68d2ae448a · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
Range of discovered_at dates across filings
Identity (basic) · Government ID
Time between earliest and latest filing
Not recorded for this incident
Leak precedence · Materiality delta · SEC filing delay — no leak-site claim in this cluster; no SEC 8-K in this cluster.
NH VT
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Apr 3, 2023
Reported by VERMONT AG, NEW HAMPSHIRE AG filings
Golden Key Title Services, LLC notified consumers of a data security incident discovered on April 3, 2023, involving unauthorized access to an employee's email account. The breach potentially exposed names, Social Security numbers, and driver's license numbers. The company engaged forensic experts, secured the account, and offered 12 months of complimentary credit monitoring services.
Golden Key Title Services, LLC notified the New Hampshire Attorney General of a data security incident involving one employee's email account. The breach was discovered on April 3, 2023, and affected 3 New Hampshire residents. Personal information, including driver's license numbers, was potentially accessed. Golden Key engaged external cybersecurity experts, secured the account, and offered 90 days of credit monitoring and identity theft recovery services through TransUnion.
Affected (this filing): 3
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.