Clustered 2 filings across 2 jurisdictions · filed Jul 13, 2023. View entity profile → Other incidents for this victim →
incident inc_9cc7a9f750544915 · merge_method deterministic · confidence 100%
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.
CA MT
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
May 28, 2023
When the intrusion reportedly occurred, per the linked filings
American Multi-Cinema, Inc reported a data breach to the Montana Attorney General. The breach was reported on 2023-07-13. The breach occurred from 5/28/2023 to 6/1/2023. 45 Montana residents were affected.
Affected (this filing): 45
American Multi-Cinema, Inc. (AMC Theatres) reported a data breach affecting consumers in California and other states. Unauthorized access occurred between May 28, 2023, and June 1, 2023. The incident potentially exposed identity information (names, addresses, SSNs) and financial account data. The company is offering credit monitoring and advising consumers to review credit reports and place fraud alerts. The specific attack vector and number of affected individuals were not disclosed in the provided notice.
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.