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Structured extracts of public breach disclosures — regulator filings (SEC, HHS, state AGs, EU DPAs) alongside threat-actor leak-site claims and press reports. SEC and HHS filings render inline from the originating regulator’s public record under the fair report privilege; other sources link out to the source URL. AI-extracted with full per-record audit trail (model, prompt version, confidence).

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Del Monte Fresh Produce N.A., Inc. data breach (2023) · DisclosureLens

All incidents View linkage analytics →

Incident · single filing

Del Monte Fresh Produce N.A., Inc.

One linked filing — more sources may join as they report · filed May 3, 2023. View entity profile → Other incidents for this victim →

incident inc_446626f68e93428f · merge_method deterministic

Litigation Timing

Not recorded for this incident

Discovery variance · Leak precedence · Materiality delta · SEC filing delay · Filing span — no leak-site claim in this cluster; needs two dated filings.

SEC 8-KConfirmedLifecycle stage 2 of 3: ConfirmedUnverified claimConfirmedEnforced

Affected (total reported)

—

Data types

—

Jurisdictions

FEDERAL

Linked filings

all SEC 8-K

Timeline

Earliest sighting first · deep chronology in Litigation Timeline

FEDERALSEC 8-KFirst filing
Filed May 3, 2023bd_77f16c65d4a547ab
Fresh Del Monte Produce Inc. reported Q1 2023 financial results, noting $2.4 million in asset impairment and other charges related to a cybersecurity incident in early 2023. The filing does not provide further details on the nature, scope, or data types affected by the incident.

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.