Clustered 3 filings across 1 jurisdiction · filed May 1, 2026. View entity profile → Other incidents for this victim →
incident inc_aa3abe99fe804c5c · merge_method deterministic · confidence 99%
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.
MA
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Rockland Trust filed a cybersecurity incident notice with the Massachusetts Office of the Attorney General (Case No. 2026-748). The filing is an initial notification regarding an incident affecting the organization. Specific details regarding the attack vector, data types, or affected individual count are not present in the provided source text.
Rockland Trust filed a cybersecurity incident notice with the Massachusetts Office of the Attorney General (Case ID 2026-741). The filing content is currently empty or inaccessible, preventing extraction of specific breach details, affected data types, or individual counts. The entity is identified as a financial services provider.
State of Massachusetts Attorney General breach notification filed by Rockland Trust. The provided source document contains no attachment text or narrative content, preventing extraction of breach details, dates, or affected data types.
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.