Music Institute of Chicago reported a data breach to the Indiana Attorney General. The breach occurred on 2023-11-15 and was reported on 2024-01-10. 2 Indiana residents were affected. 605 individuals affected in total.
Affected (this filing): 605
Clustered 2 filings across 2 jurisdictions · filing window Jan 10, 2024 → Jan 11, 2024. View entity profile → Other incidents for this victim →
incident inc_7b90f19461f4440f · 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.
Identity (basic) · Government ID
IN ME
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Nov 15, 2023
When the intrusion reportedly occurred, per the linked filings
Nov 15, 2023
Reported by MAINE AG filing
Music Institute of Chicago reported a data breach to the Indiana Attorney General. The breach occurred on 2023-11-15 and was reported on 2024-01-10. 2 Indiana residents were affected. 605 individuals affected in total.
Affected (this filing): 605
An employee of the Music Institute of Chicago engaged in insider wrongdoing, resulting in the compromise of names and Social Security numbers. The breach was discovered on the same day it occurred. The organization offered affected individuals 12 months of credit monitoring services.
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.