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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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Valdosta State University data breach (2025) · DisclosureLens

All incidents View linkage analytics →

Incident · single filing

Valdosta State University

One linked filing — more sources may join as they report · filed Mar 15, 2025. View entity profile → Other incidents for this victim →

Confirmed breach. 10,000 individuals reported across the linked filings.

incident inc_98c12a8a988b4eca · 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; no SEC 8-K in this cluster; needs two dated filings.

State AGConfirmedLifecycle stage 2 of 3: ConfirmedUnverified claimConfirmedEnforced

Affected (total reported)

10,000

Data types

—

Jurisdictions

1

IN

Linked filings

1

all State AG

Timeline

Earliest sighting first · deep chronology in Litigation Timeline

🏎️Indiana State AGFirst filing
Filed Mar 15, 2025bd_352783c9b184432a
Valdosta State University reported a data breach to the Indiana Attorney General. 22 Indiana residents were affected. 10,000 individuals affected in total.
Affected (this filing): 10,000

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.