Clustered 2 filings across 2 jurisdictions · filed Mar 20, 2025. View entity profile → Other incidents for this victim →
incident inc_35c20133f80d4ccb · 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.
MD MT
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Nov 1, 2024
When the intrusion reportedly occurred, per the linked filings
Nov 26, 2024
Reported by MARYLAND AG filing
Clarke Nicolini & Associates, Ltd. reported a data breach to the Montana Attorney General. The breach was reported on 2025-03-20. The breach occurred on 11/01/2024. 1 Montana residents were affected.
Affected (this filing): 1
Clarke Nicolini & Associates, Ltd. notified the Maryland Attorney General of a data security incident discovered in November 2024. An unauthorized actor may have accessed files containing names, SSNs, driver's license numbers, and health insurance info for approximately 27 Maryland residents. The company engaged forensic experts, secured its network, and offered 12 months of identity protection services via IDX.
Affected (this filing): 27
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.