AI Security for Healthcare
Protect patient data and ensure compliance when deploying AI in healthcare applications
About AI Security in Healthcare
Healthcare organizations are rapidly adopting AI for patient engagement, clinical documentation, and diagnostic support. However, these applications handle Protected Health Information (PHI) and must comply with strict regulations like HIPAA. Wardstone provides the security layer needed to deploy AI safely in healthcare, preventing data leakage, blocking prompt injection attacks, and ensuring patient information stays protected.
AI Security Challenges in Healthcare
PHI Exposure Risk
AI chatbots and assistants can inadvertently expose patient health information through prompt injection attacks or poorly filtered responses.
HIPAA Compliance
Healthcare AI must comply with HIPAA, HITECH, and state privacy laws. Violations can result in fines up to $1.5M per incident.
Medical Misinformation
LLM hallucinations can provide incorrect medical advice, creating liability risks and potentially harming patients.
EHR Integration Security
AI systems integrated with Electronic Health Records must prevent unauthorized data extraction and maintain audit trails.
Use Cases for Healthcare
Patient Chatbots
Secure symptom checkers, appointment schedulers, and patient engagement tools
Clinical Documentation
Protect AI-assisted note-taking and EHR integration from data leakage
Diagnostic Support
Secure AI tools that assist clinicians with diagnosis and treatment planning
Insurance Processing
Protect AI handling claims, prior authorizations, and benefits inquiries
Compliance Support
HIPAA
Health Insurance Portability and Accountability Act requires protection of PHI
Wardstone's PII detection identifies and blocks PHI in AI inputs and outputs, preventing unauthorized disclosure.
HITECH
Health Information Technology Act strengthens HIPAA enforcement
Comprehensive logging and real-time detection help meet HITECH's breach notification requirements.
FDA AI/ML Guidance
FDA guidelines for AI/ML in medical devices
Wardstone provides the security controls needed for AI systems used in clinical decision support.
Healthcare AI Security Architecture
Wardstone integrates between your application and LLM provider to filter PHI and block attacks
Threats We Protect Against
PII Exposure
highThe unintended disclosure of Personally Identifiable Information (PII) such as names, addresses, SSNs, credit cards, or other personal data through LLM interactions.
Data Leakage
highUnintended exposure of sensitive information, training data, or system prompts through LLM outputs.
Prompt Injection
criticalAn attack where malicious instructions are embedded in user input to manipulate LLM behavior and bypass safety controls.
Jailbreak Attacks
criticalSophisticated prompts designed to bypass LLM safety guidelines and content policies to elicit harmful or restricted outputs.
Related Industry Solutions
Ready to secure your healthcare AI?
Start with our free tier to see how Wardstone protects your applications, or contact us for enterprise solutions.