Clustered 2 filings across 2 jurisdictions · filing window May 24, 2023 → May 31, 2023. View entity profile → Other incidents for this victim →
incident inc_468e8ca2b5624289 · 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.
MT NH
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Dec 5, 2022
When the intrusion reportedly occurred, per the linked filings
Dec 21, 2022
Reported by NEW HAMPSHIRE AG filing
MedInform, Inc reported a data breach to the Montana Attorney General. The breach was reported on 2023-05-24. The breach occurred from 12/5/2022 to 12/21/2022. 2 Montana residents were affected.
Affected (this filing): 2
MedInform, Inc. notified the NH AG of a security event affecting 1 NH resident. Suspicious activity identified Dec 21, 2022 involving malicious encryption. Unauthorized access occurred Dec 5-21, 2022. Unencrypted PHI of Cleveland Clinic patients was exfiltrated. MedInform engaged third-party specialists, notified law enforcement and HHS, and offered 24 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.