Luminate Capital Corporation reported a data breach to the Indiana Attorney General. The breach occurred on 2024-11-06 and was reported on 2025-04-25. 1 Indiana residents were affected. 49 individuals affected in total.
Affected (this filing): 49
Clustered 2 filings across 2 jurisdictions · filed Apr 25, 2025. View entity profile → Other incidents for this victim →
incident inc_6014ee3d76f34354 · 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.
IN ME
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Nov 6, 2024
When the intrusion reportedly occurred, per the linked filings
Mar 31, 2025
Reported by MAINE AG filing
Luminate Capital Corporation reported a data breach to the Indiana Attorney General. The breach occurred on 2024-11-06 and was reported on 2025-04-25. 1 Indiana residents were affected. 49 individuals affected in total.
Affected (this filing): 49
Luminate Capital Corporation reported a data breach affecting one Maine resident. The breach, an external system hacking incident, occurred on November 6, 2024, and was discovered on March 31, 2025. The company notified the affected individual on April 25, 2025, and offered 12 months of identity theft and credit monitoring services through IDX.
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.