Clustered 2 filings across 2 jurisdictions · filed Oct 29, 2024. View entity profile → Other incidents for this victim →
incident inc_5d7bb73da1b94e78 · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
Range of discovered_at dates across filings
Identity (basic) · Government ID
Time between earliest and latest filing
Not recorded for this incident
Leak precedence · Materiality delta · SEC filing delay — no leak-site claim in this cluster; no SEC 8-K in this cluster.
NH VT
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Mar 23, 2024
When the intrusion reportedly occurred, per the linked filings
Mar 23, 2024
Reported by VERMONT AG, NEW HAMPSHIRE AG filings
Panera, LLC notified consumers of a March 23, 2024 security incident involving unauthorized access to internal files. The breach exposed names and government identifiers (e.g., SSNs). Panera engaged a cybersecurity firm, notified law enforcement, and provided one year of credit monitoring and identity theft insurance to affected individuals.
Panera, LLC filed a supplemental breach notification with the New Hampshire Attorney General regarding unauthorized access to internal files on March 23, 2024. The incident affected approximately 43 New Hampshire residents, exposing names, Social Security numbers, and/or Driver’s License numbers. Panera engaged a cybersecurity firm, notified law enforcement, and offered one year of credit monitoring via Epiq to affected individuals.
Affected (this filing): 43
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.