Clustered 2 filings across 2 jurisdictions · filing window May 1, 2026 → May 15, 2026. View entity profile → Other incidents for this victim →
incident inc_87859b90b6604bd3 · merge_method deterministic · confidence 95%
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 MA
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Feb 26, 2026 → Feb 27, 2026
When the intrusion reportedly occurred, per the linked filings
Feb 27, 2026
Reported by MASSACHUSETTS AG filing
Loop Capital notified Massachusetts residents of an unauthorized access incident occurring February 26-27, 2026. The breach exposed names and Social Security numbers of affected individuals. Loop Capital engaged third-party forensic specialists, secured its network, and offered credit monitoring services. The incident status is contained.
Loop Capital reported a data breach to the Indiana Attorney General. The breach occurred on 2026-02-26 and was reported on 2026-05-15. 6 Indiana residents were affected. 505 individuals affected in total.
Affected (this filing): 505
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.