🌽Iowa State AGFirst filing
Filed Mar 17, 2026bd_520aeafef2a0c035
Brandt Equities LP, a financial services sector entity reported a data breach to the Iowa Attorney General. The breach was reported on 2026-03-17.
Clustered 2 filings across 2 jurisdictions · filed Mar 17, 2026. View entity profile → Other incidents for this victim →
incident inc_6f1b542537c64755 · 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.
IA NH
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Nov 8, 2025 → Nov 22, 2025
When the intrusion reportedly occurred, per the linked filings
Feb 6, 2026
Reported by NEW HAMPSHIRE AG filing
Brandt Equities LP, a financial services sector entity reported a data breach to the Iowa Attorney General. The breach was reported on 2026-03-17.
Brandt Equities LP notified the New Hampshire Attorney General of a cybersecurity incident involving unauthorized network access between November 8-12 and November 20-22, 2025. The breach affected two New Hampshire residents, exposing names, Social Security numbers, and driver's license numbers. Brandt Equities LP engaged a cybersecurity firm, secured the network, and began mailing notifications on March 17, 2026, offering one year of credit monitoring.
Affected (this filing): 2
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.