Clustered 2 filings across 2 jurisdictions · filing window May 12, 2022 → May 16, 2022. View entity profile → Other incidents for this victim →
incident inc_eeadb23cb9d84192 · merge_method deterministic · 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 NH
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Feb 17, 2022
When the intrusion reportedly occurred, per the linked filings
Feb 27, 2022
Reported by NEW HAMPSHIRE AG filing
Apr 18, 2022
Reported by MAINE AG filing
Argo Turboserve Corporation experienced an external system breach (hacking) on February 17, 2022, discovered on April 18, 2022. The breach resulted in the compromise of names and Social Security numbers. The company notified affected individuals on May 12, 2022, and offered 24 months of identity monitoring services through Experian.
Affected (this filing): 2
Argo Turboserve Corporation (ATC) notified the New Hampshire Attorney General of a ransomware incident affecting one NH resident. Unauthorized access occurred Feb 18-27, 2022. ATC discovered the breach on Feb 27, 2022, and notified law enforcement. Personal information (name, SSN) was exfiltrated. ATC provided 24 months of credit monitoring via Experian to the affected individual.
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.