Deli Management, Inc dba Jason's Deli reported a data breach to the Indiana Attorney General. 980 Indiana residents were affected. 344,034 individuals affected in total.
Affected (this filing): 344,034
Clustered 2 filings across 2 jurisdictions · filing window Jan 19, 2024 → Jan 22, 2024. View entity profile → Other incidents for this victim →
incident inc_7d56a65439854088 · 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) · Financial account
IN ME
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Dec 21, 2023
When the intrusion reportedly occurred, per the linked filings
Dec 21, 2023
Reported by MAINE AG filing
Deli Management, Inc dba Jason's Deli reported a data breach to the Indiana Attorney General. 980 Indiana residents were affected. 344,034 individuals affected in total.
Affected (this filing): 344,034
Deli Management, Inc. d/b/a Jason's Deli reported a credential stuffing incident on 12/21/2023 affecting 344,034 individuals. The breach exposed names and financial account numbers (including credit/debit card numbers with security codes/PINs). Written notification was sent on 01/19/2024. No identity theft protection services were offered. One Maine resident was affected.
Affected (this filing): 344,034
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.