Clustered 2 filings across 2 jurisdictions · filing window Sep 23, 2016 → Sep 26, 2016. View entity profile → Other incidents for this victim →
incident inc_bc0143f9d9334c3c · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
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.
CA MT
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Aug 15, 2016
When the intrusion reportedly occurred, per the linked filings
Sep 8, 2016
Reported by CALIFORNIA AG filing
Novation Settlement Solutions reported a data breach to the Montana Attorney General. The breach was reported on 2016-09-23. The breach occurred from 8/15/2016 to 9/8/2016. 15 Montana residents were affected.
Affected (this filing): 15
Novation Settlement Solutions notified California residents of a data breach in late August 2016. An unidentified third party gained unauthorized access to confidential files containing names, dates of birth, addresses, phone numbers, Social Security numbers, and financial account numbers. Novation engaged Kroll to provide one year of complimentary identity monitoring and enhanced security controls.
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.