Rockland Trust Company
One linked filing — more sources may join as they report · filed May 11, 2026. View entity profile → Other incidents for this victim →
incident inc_ed3872bcb27547ce · merged by deterministic
Litigation Timing
Not recorded for this incident
Discovery variance · Leak precedence · Materiality delta · SEC filing delay · Filing span — no leak-site claim in this cluster; no SEC 8-K in this cluster; needs two dated filings.
Incident timeline
No discovery date is recorded on any filing in this cluster, so the notification delay is not computable. Dashed segments fill in as filings merge.
Member cascade — every filing about this breach
- MAY 11MA AGMA AG noticeonly filing · no count statedday 0
- Watching for additional filings — new sources merge into this incident automatically.
Roll-up facts — reconciled across members
- Breach window
- —
- Discovered
- —
- Data types
- Identity (basic) · Government ID MA AG
- Attack vector
- Misconfiguration MA AG
- Response
- Offering a complimentary 24-month membership of Experian’s IdentityWorks · Addressed the issue with staff · Reiterated the importance of properly handling and safeguarding customer information MA AG
Each fact cites the member filing that establishes it; when filings conflict, every value shows with its source.
Evidence ladder — rungs this incident occupies
No leak-site claim on record for this incident.
No press coverage linked yet.
Unlocks: discovery date, data types, affected count, compliance clock.
No SEC filing or victim statement yet.
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.