Case Study
Protecting Patient Privacy & Ensuring Continuity of Critical Healthcare Services
The healthcare and health-tech sectors are undergoing rapid digital transformation. APIs now power everything, from patient portals and electronic health records (EHRs) to telemedicine platforms, wearable devices, and third-party insurance (TPA) systems.
This interconnectedness improves patient care and operational efficiency but also creates an enormous and ever-expanding attack surface for cybercriminals. The stakes are exceptionally high: patient lives, sensitive personal health information (PHI), and the continuity of critical care services all hang in the balance.
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Outcomes
Map
- •Inventory all APIs, including shadow and legacy-exposed endpoints used by telemedicine platforms, prescription services, patient portals, and scheduling systems.
- •Classify data flows to identify where PHI (and other sensitive data like insurance IDs or prescriptions) is created, stored, and transmitted.
- •Map business context and ownership so each API (including third-party and TPA integrations) has a clear owner, risk profile, and compliance mapping (HIPAA, GDPR, CCPA).
- •Highlight high-risk paths, such as APIs that allow patient ID-based lookups or bulk appointment modifications so they can be hardened first.
Monitor
- •Detects suspicious enumeration patterns that indicate BOLA-style abuse on patient or prescription endpoints.
- •Identifies abnormal booking behavior, such as rapid-fire appointment creation, modification, or cancellation from specific users, IP addresses, or regions.
- •Builds behavioral baselines for normal clinician, patient, and system activity, and flags deviations (e.g., sudden spikes in record access after-hours or from unusual locations).
- •Correlates signals across APIs across telemedicine, EHR, scheduling, and TPA to catch multi-step attacks that might look benign in isolation but dangerous in combination.
Mitigate
- •Blocks or rate-limits malicious traffic at the API or method level to stop data scraping, credential stuffing, and appointment flooding in real time.
- •Applies virtual patching and policy updates (e.g., stricter authorization checks, request throttling, geo/IP rules) without forcing immediate code changes on already stretched engineering teams.
- •Triggers automated workflows with SIEM/SOAR, ticketing, and on-call teams so security, IT, and clinical operations can coordinate response.
- •Supports forensic analysis and compliance reporting, providing detailed incident timelines for HIPAA/GDPR notifications, root-cause analysis, and future control improvements.
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