Established in 1969, Oakland Museum of California provides collections, exhibitions, education programs and public dialogue. They are based in Oakland, California.
Clustered 2 filings across 2 jurisdictions · filing window Aug 29, 2025 → Nov 12, 2025. View entity profile → Other incidents for this victim →
incident inc_a3c607cca9074eb6 · merge_method human · confidence 100%
Discovered → first regulatory filing
Gap between first leak claim and first regulatory filing
Time between earliest and latest filing
Not recorded for this incident
Discovery variance · Materiality delta · SEC filing delay — no SEC 8-K in this cluster; needs two dated filings.
CA
Leak Site · State AG
Earliest sighting first · deep chronology in Litigation Timeline
Jul 10, 2025 → Jul 13, 2025
When the intrusion reportedly occurred, per the linked filings
Jul 13, 2025
Reported by CALIFORNIA AG filing
Established in 1969, Oakland Museum of California provides collections, exhibitions, education programs and public dialogue. They are based in Oakland, California.
Oakland Museum of California notified the California Attorney General of a data breach where an unauthorized actor accessed the network between July 10 and July 13, 2025. The museum observed unusual activity on July 13, 2025, and engaged cybersecurity specialists. Personal information, including names and addresses, was potentially accessed. The museum secured its environment, implemented additional security measures, and offered complimentary credit monitoring and identity theft protection services 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.