Security for Digital Health

Healthtech companies handle the most sensitive personal data in existence - patient health records, genomics, mental health information. The consequences of a breach extend beyond financial and reputational damage to direct patient harm.

What Makes Healthtech Different

• ePHI is everywhere - in databases, in logs, in backups, in ML training sets. Every data store needs encryption, access control, and audit logging.
• EHR integrations create complex trust boundaries - FHIR APIs, HL7 feeds, and third-party data sharing require careful security architecture
• AI clinical tools introduce model risk - bias, data poisoning, and adversarial inputs have clinical consequences
• Audit trails are non-negotiable - every access to patient data must be logged, monitored, and available for investigation

Our Approach for Healthtech

We start with a HIPAA Security Rule gap analysis, then implement the technical safeguards required: encryption at rest and in transit, access control, audit logging, and integrity controls - all automated through your CI/CD pipeline.

For AI-powered health products, we apply the OWASP LLM Top 10 and additional health AI risk frameworks to secure the full model lifecycle.