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Structured extracts of public breach disclosures — regulator filings (SEC, HHS, state AGs, EU DPAs) alongside threat-actor leak-site claims and press reports. SEC and HHS filings render inline from the originating regulator’s public record under the fair report privilege; other sources link out to the source URL. AI-extracted with full per-record audit trail (model, prompt version, confidence).

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Rocky Mountain Associated Physicians data breach (2026) · DisclosureLens

All incidents View linkage analytics →

Merged incident · 2 filings

Rocky Mountain Associated Physicians

Clustered 2 filings across 2 jurisdictions · filing window Jan 26, 2026 → Apr 3, 2026. View entity profile → Other incidents for this victim →

✓ 0 discrepancies — filings agreeMerge100%

Confirmed breach. 50,640 individuals reported across the linked filings.

incident inc_9e2e2b8cb69e4e64 · merge_method deterministic · confidence 100%

Litigation Timing

Leak precedence

67days

Gap between first leak claim and first regulatory filing

Filing span

67days

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.

Regulatory clocksLeak gap⏱ Leak >30dFull clock table in Litigation Timeline

Leak SiteHHS OCRConfirmedLifecycle stage 2 of 3: ConfirmedUnverified claimConfirmedEnforcedpear

Affected (total reported)

50,640

Data types

—

Jurisdictions

Linked filings

Leak Site · HHS OCR

Timeline

Earliest sighting first · deep chronology in Litigation Timeline

GLOBALClaimed by PearFirst sighting
Posted to leak site Jan 26, 2026bd_ccc67527bd8aee75
Utah’s Leading Bariatric Specialists, surgical & Medical Weight Loss Solutions in Salt Lake City
67 days
UTHHS OCRMost recentLeaked → filing gap · 2 molinked via shared-victim match · 100%
Filed Apr 3, 2026bd_a28b9d66e806f219
Rocky Mountain Associated Physicians, P.C. reported to HHS on 2026-04-03 a Hacking/IT Incident affecting 50640 individuals. Breached information located on Network Server.
Affected (this filing): 50,640
Leak >30d

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.

HHS notified