Zero Technologies, LLC reported a data breach to the Montana Attorney General. The breach was reported on 2019-07-12. The breach occurred on 5/5/2019. 37 Montana residents were affected.
Affected (this filing): 37
Clustered 2 filings across 2 jurisdictions · filing window Jul 12, 2019 → Jul 15, 2019. View entity profile → Other incidents for this victim →
incident inc_2f7e9899965c4c92 · 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
May 5, 2019
When the intrusion reportedly occurred, per the linked filings
May 24, 2019
Reported by CALIFORNIA AG filing
Zero Technologies, LLC reported a data breach to the Montana Attorney General. The breach was reported on 2019-07-12. The breach occurred on 5/5/2019. 37 Montana residents were affected.
Affected (this filing): 37
Zero Technologies, LLC reported a data breach affecting customers of www.zerowater.com. Between November 4, 2018, and April 9, 2019, an attacker exploited a vulnerability on the company's website to access obfuscated payment card information, names, billing/shipping addresses, phone numbers, emails, and passwords. The company engaged forensic investigators and implemented security enhancements.
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.