Protect patient data before it becomes a breach report

ePHI exposure triggers mandatory breach notification

Under HIPAA, unauthorized access to just one patient's records requires breach notification to HHS and potentially to the patient. The access control flaws that cause these exposures — IDOR, broken authorization in FHIR APIs — are exactly what Penetrify finds.

HIPAA Security Rule requires regular testing

45 CFR §164.308(a)(8) requires regular technical and nontechnical evaluations of your security controls. "Regular" means more than once a year when you're shipping code monthly — Penetrify makes continuous testing economically practical.

FHIR APIs introduce new attack surfaces

Modern healthcare interoperability standards (FHIR R4, SMART on FHIR) create API endpoints that expose patient data at scale. Misconfigured authorization on a single FHIR endpoint can expose your entire patient population.

45 CFR §164.308(a)(8) — Regular evaluation of technical and nontechnical safeguards

Control 10.m — Penetration testing as part of the vulnerability management program

CC6.1 — Logical access controls with penetration testing evidence

A.12.6 — Technical vulnerability management with regular security testing

Penetrify tests authorization boundaries across all user roles — clinician, admin, patient — and specifically probes for IDOR vulnerabilities that expose patient records outside authorized care relationships. This is the #1 cause of healthcare data breaches.

Every scan produces a timestamped, severity-ranked report. When OCR audits your security program, you can demonstrate a documented history of regular security testing across your entire application — not a single annual report from one point in time.

Penetrify tests FHIR R4 and SMART on FHIR implementations for authorization boundary enforcement, scope validation, and resource access control — the specific attack surfaces that standard DAST tools are not configured to test.

Penetrify never modifies, deletes, or exfiltrates data. It tests by observing application responses, not by performing write operations. Safe to run against staging environments that mirror production patient data structure.