Clustered 2 filings across 2 jurisdictions · filing window May 9, 2024 → May 10, 2024. View entity profile → Other incidents for this victim →
incident inc_cc245ebc57f148ba · 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.
ME MT
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
May 29, 2023
When the intrusion reportedly occurred, per the linked filings
May 31, 2023
Reported by MAINE AG filing
Allianza Global Risks US Insurance Company reported a data breach to the Montana Attorney General. The breach was reported on 2024-05-09. The breach occurred from 5/29/2023 to 5/31/2023. 1 Montana residents were affected.
Affected (this filing): 1
Allianz Global Risks U.S. Insurance Company reported an external system breach (hacking) on May 31, 2023, affecting 44,114 individuals, including 51 Maine residents. The breach compromised names and Social Security Numbers. Written notifications were sent on November 20, 2023, offering 24 months of credit monitoring and identity theft restoration services through Experian.
Affected (this filing): 44,114
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.