Southern Arkansas University Tech reported a data breach to the Indiana Attorney General. The breach occurred on 2024-10-30 and was reported on 2025-04-29. 5 Indiana residents were affected.
Affected (this filing): 5
Clustered 2 filings across 2 jurisdictions · filing window Apr 29, 2025 → Apr 30, 2025. View entity profile → Other incidents for this victim →
incident inc_067a5b1c1db94388 · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
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.
IN ME
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Oct 30, 2024
When the intrusion reportedly occurred, per the linked filings
Oct 30, 2024
Reported by MAINE AG filing
Southern Arkansas University Tech reported a data breach to the Indiana Attorney General. The breach occurred on 2024-10-30 and was reported on 2025-04-29. 5 Indiana residents were affected.
Affected (this filing): 5
Southern Arkansas University Tech, an educational institution, reported an external system breach (hacking) that occurred and was discovered on October 30, 2024. The breach affected one Maine resident. Notification to the affected individual was sent on April 29, 2025, and included an offer for 12 months of credit monitoring and identity restoration services through IDX.
Affected (this filing): 1
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.