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.
State AGConfirmedLifecycle stage 2 of 3: ConfirmedUnverified claimConfirmedEnforced
Affected (total reported)
167
Data types
—
Jurisdictions
2
IN NH
Linked filings
2
all State AG
Timeline
Earliest sighting first · deep chronology in Litigation Timeline
Breach window
Apr 10, 2026
When the intrusion reportedly occurred, per the linked filings
National Association of Credit Management Intermountain reported a data breach to the Indiana Attorney General. The breach occurred on 2026-04-10 and was reported on 2026-06-17. 6 Indiana residents were affected. 167 individuals affected in total.
Affected (this filing): 167
⛰️New Hampshire State AGMost recentlinked via multistate filing link · 100%
National Association of Credit Management Intermountain (NACM) notified the New Hampshire Attorney General on June 17, 2026, of a data incident discovered on April 10, 2026. An unauthorized individual accessed two employee email accounts, potentially exposing the name and Social Security number of one New Hampshire resident. NACM secured accounts, engaged third-party specialists, and sent notice with 12 months of credit monitoring.
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.