Clustered 2 filings across 2 jurisdictions · filed Dec 9, 2020. View entity profile → Other incidents for this victim →
incident inc_e794c47e115c4031 · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
Range of discovered_at dates across filings
Identity (basic) · Government ID
Time between earliest and latest filing
Not recorded for this incident
Leak precedence · Materiality delta · SEC filing delay — no leak-site claim in this cluster; no SEC 8-K in this cluster.
ME WA
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
May 1, 2020
Reported by WASHINGTON AG filing
May 12, 2020
When the intrusion reportedly occurred, per the linked filings
May 12, 2020
Reported by MAINE AG filing
City University of Seattle reported an external system breach that occurred and was discovered on May 12, 2020. The incident affected 1,339 individuals, compromising their names and Social Security numbers. Affected individuals were notified on December 7, 2020, and offered 12 months of identity protection services.
Affected (this filing): 1,339
City University of Seattle, a education sector entity reported a unclear/unknown incident to the Washington Attorney General. The organization became aware of the incident on 2020-05-01 and filed notice on 2020-12-09. 1,097 Washington residents were affected. 222 days elapsed between awareness and notification.
Affected (this filing): 1,097
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.