HIPAA · Healthcare AI
HIPAA compliance for clinical and operational AI
PHI in prompts, RAG, and agents is a breach waiting to happen. Test for leakage, hallucinate clinical guidance, and prove HIPAA controls in the Compliance Status matrix.
HIPAA AI compliance is the application of HIPAA Security and Privacy Rule obligations to AI systems that create, receive, maintain, or transmit protected health information (PHI), including access controls, audit trails, and minimum necessary use.
Key takeaways
- Five HIPAA controls (four critical) are live in AgenticAssure's posture matrix.
- PHI-focused red teaming tests cross-session leakage and adversarial extraction.
- Continuous Monitors re-run when models or prompts change post-certification.
Common HIPAA failures in LLM deployments
PHI in conversation context across sessions, hallucinated clinical recommendations, and missing AI-specific entries in annual risk assessments. Traditional pen tests do not cover prompt injection or jailbreaks.
Questions compliance teams ask
Does HIPAA apply to AI chatbots in healthcare?
Yes, when the chatbot processes PHI. Business Associate Agreements, access controls, audit logging, and breach notification apply to AI systems the same as other systems handling PHI.
How does AgenticAssure test for PHI leakage?
Privacy and PII audit probes plus PHI-focused red-team scenarios test direct, session, and database leakage paths. Results map to HIPAA controls with immutable evidence.