Clustered 2 filings across 2 jurisdictions · filing window May 11, 2026 → Jul 1, 2026. View entity profile → Other incidents for this victim →
incident inc_3ef09087ec3e42e5 · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
Gap between first leak claim and first regulatory filing
Time between earliest and latest filing
Not recorded for this incident
Discovery variance · Materiality delta · SEC filing delay — no SEC 8-K in this cluster; needs two dated filings.
MA
Leak Site · State AG
Earliest sighting first · deep chronology in Litigation Timeline
May 4, 2026
When the intrusion reportedly occurred, per the linked filings
May 4, 2026
Reported by MASSACHUSETTS AG filing
Accretech America Inc. is the U.S. division of Tokyo Seimitsu Co., Ltd. of Japan, a Japanese corporation specialising in semiconductor equipment and precision instrumentation.
Accretech America, Inc. disclosed a ransomware attack on May 4, 2026, affecting systems holding employee and dependent PII, including SSNs, driver's licenses, financial account numbers, and healthcare information. The company contained the incident by shutting down the network, engaged external forensic experts, and notified law enforcement. Affected individuals were offered 18 months of LifeLock coverage. Impacted individuals are located in Massachusetts, Texas, Pennsylvania, and Utah.
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.