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.
State AGConfirmedLifecycle stage 2 of 3: ConfirmedUnverified claimConfirmedEnforced
Affected (total reported)
—
Data types
—
Jurisdictions
1
CA
Linked filings
2
all State AG
Timeline
Earliest sighting first · deep chronology in Litigation Timeline
Breach window
Jul 16, 2017
When the intrusion reportedly occurred, per the linked filings
Discover Financial Services reported a data security breach to the California Attorney General. The breach occurred on July 16, 2017. The filing provides only the occurrence date and organization name; no details regarding the nature of the breach, data types affected, or number of individuals impacted are included in the provided source text.
Discover Financial Services reported a data security breach to the California Attorney General. The filing indicates the breach occurred on January 2, 2018. The provided source document contains only the metadata from the state registry and empty placeholders for the attached notification letters; consequently, details regarding the nature of the breach, data types affected, number of individuals impacted, and response actions are not available in this extraction.
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.