Clustered 2 filings across 2 jurisdictions · filed Jun 4, 2024. View entity profile → Other incidents for this victim →
incident inc_e1962324aef448d3 · merge_method human · confidence 100%
Discovered → first regulatory filing
Range of discovered_at dates across filings
Identity (basic) · Government ID
Time between earliest and latest filing
Not recorded for this incident
Leak precedence · Materiality delta · SEC filing delay — no leak-site claim in this cluster; no SEC 8-K in this cluster.
ME WA
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Oct 17, 2023
When the intrusion reportedly occurred, per the linked filings
Oct 17, 2023
Reported by WASHINGTON AG filing
May 10, 2024
Reported by MAINE AG filing
Assist System, LLC and Medjet Assistance, LLC reported a data breach affecting 9 Maine residents. The breach, which occurred on October 17, 2023, was discovered on May 10, 2024. The compromised information includes names and Social Security Numbers. The company is offering 12 months of credit monitoring and identity protection services through Kroll.
Affected (this filing): 9
Assist System, LLC and Medjet Assistance, LLC, a business sector entity reported a ransomware incident to the Washington Attorney General. The organization became aware of the incident on 2023-10-17 and filed notice on 2024-06-04. 9,142 Washington residents were affected. 231 days elapsed between awareness and notification. 0 days to identify the breach. 0 days to contain the breach.
Affected (this filing): 9,142
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.