California, United States
Clustered 4 filings across 3 jurisdictions · filing window Nov 28, 2023 → Apr 12, 2024. View entity profile → Other incidents for this victim →
incident inc_40daea3e15424938 · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
Range of discovered_at dates across filings
Gap between first leak claim and first regulatory filing
Time between earliest and latest filing
Not recorded for this incident
Materiality delta · SEC filing delay — no SEC 8-K in this cluster.
CA VT
Leak Site · State AG
Earliest sighting first · deep chronology in Litigation Timeline
Nov 8, 2023 → Nov 9, 2023
When the intrusion reportedly occurred, per the linked filings
California, United States
Nov 30, 2023
Reported by VERMONT AG, CALIFORNIA AG filings
SinglePoint Outsourcing notified consumers of a data breach where an unauthorized individual acquired files containing names, SSNs, DOBs, driver's license numbers, and bank account information between Nov 8-9, 2023. Incident discovered Nov 30, 2023. SinglePoint engaged forensic specialists, reset passwords, and offered 12 months of credit monitoring.
SinglePoint Outsourcing, Inc. notified the California Attorney General of a data breach affecting human resource records. An unauthorized individual acquired files between November 8 and November 9, 2023. The company became aware of the incident on November 30, 2023. Affected data may include names, Social Security numbers, dates of birth, driver's license numbers, and bank account information. SinglePoint engaged forensic specialists, reset passwords, secured accounts, and implemented 24/7 monitoring. Credit monitoring was offered to affected individuals.
SinglePoint Outsourcing, Inc. notified the California Attorney General of a data breach where an unauthorized individual acquired files between November 8-9, 2023. The company became aware of the incident on November 30, 2023. Affected data may include names, Social Security numbers, dates of birth, driver's license numbers, and bank account information. The company engaged forensic specialists, reset passwords, secured accounts, and implemented 24/7 monitoring. Credit monitoring was offered to affected individuals.
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.