Hanni Inc reported a data breach to the Indiana Attorney General. The breach occurred on 2024-03-27 and was reported on 2024-05-20. 29 Indiana residents were affected. 1,522 individuals affected in total.
Affected (this filing): 1,522
Clustered 2 filings across 2 jurisdictions · filing window May 20, 2024 → May 23, 2024. View entity profile → Other incidents for this victim →
incident inc_db03a8e0f97e44ae · 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.
Identity (basic)
IN ME
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Mar 27, 2024
When the intrusion reportedly occurred, per the linked filings
Apr 23, 2024
Reported by MAINE AG filing
Hanni Inc reported a data breach to the Indiana Attorney General. The breach occurred on 2024-03-27 and was reported on 2024-05-20. 29 Indiana residents were affected. 1,522 individuals affected in total.
Affected (this filing): 1,522
Hanni Inc. experienced a data breach due to insider wrongdoing on March 27, 2024. The incident was discovered on April 23, 2024, and affected 1,522 individuals, including 7 residents of Maine. Electronic notifications were sent to those affected on May 20, 2024. The company did not offer identity theft protection services.
Affected (this filing): 7
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.