Healthcare AI Security
Protect patients and data
in every AI interaction.
FirewaLLM delivers HIPAA-compliant security for healthcare AI applications. From patient chatbots to clinical decision support, every prompt and response is inspected for PHI leakage, unsafe outputs, and compliance violations — so your AI serves patients without putting them at risk.
THE CHALLENGE
Healthcare AI carries
life-critical risks.
AI is transforming healthcare through smarter diagnostics, automated triage, and patient engagement. But healthcare AI operates under the strictest regulatory and ethical requirements of any industry. A single PHI leak, an unsafe clinical suggestion, or a prompt injection attack on a patient-facing chatbot can endanger lives, trigger regulatory action, and destroy institutional trust.
PHI Leakage Through LLM Interactions
Patient names, diagnoses, medications, and medical record numbers can flow into LLM prompts during summarization, triage, or chatbot interactions. Without interception, this Protected Health Information is transmitted to third-party model providers, violating HIPAA and exposing your organization to breach notification requirements and civil penalties.
Unsafe Clinical AI Outputs
LLMs can generate confident-sounding but medically inaccurate responses — incorrect drug dosages, fabricated clinical guidelines, or misleading diagnostic information. When these outputs reach clinicians or patients without validation, they create direct patient safety hazards and significant malpractice liability for the healthcare organization.
Prompt Injection on Patient-Facing Systems
Attackers or even curious patients can manipulate AI chatbots through prompt injection, forcing them to reveal system instructions, disclose other patients' data, or bypass conversational guardrails. In healthcare, these attacks can extract sensitive information and undermine the trustworthiness of AI-assisted care delivery.
THE SOLUTION
AI security built for
healthcare compliance.
FirewaLLM applies healthcare-specific security policies to every AI interaction. PHI is detected and redacted before it leaves your infrastructure. Model responses are validated against clinical safety guardrails. And every interaction is logged with the detail your compliance team needs for HIPAA audits.
PHI Detection & Redaction
Automatically identify and redact patient names, MRNs, dates of birth, diagnoses, and 18 HIPAA identifier categories in prompts before they reach external LLM providers. No PHI leaves your control boundary.
Clinical Safety Guardrails
Define response validation rules that flag or block outputs containing unsupported clinical claims, contraindicated recommendations, or language that could be misinterpreted as a definitive diagnosis by patients or staff.
HIPAA-Ready Audit Logging
Every AI interaction generates an immutable audit record with full metadata — user identity, PHI detection results, policy decisions, and timestamps. Export to your compliance platform with built-in HIPAA reporting templates.
Role-Based Access Controls
Enforce different AI usage policies for clinicians, nurses, administrative staff, and patients. Control which user roles can access which AI capabilities and what data each role is permitted to include in prompts.
Real-Time Threat Monitoring
Monitor all AI traffic for prompt injection attempts, unusual data patterns, and policy violations across patient chatbots, clinical tools, and EHR integrations from a unified security dashboard.
On-Premise & VPC Deployment
Deploy FirewaLLM entirely within your healthcare IT environment. Supports on-premise servers, private cloud, and VPC configurations so patient data never transits through third-party security infrastructure.
WHY FIREWALLM
Built for real-world AI security.
Prevent PHI from reaching third-party LLM providers automatically
Enforce clinical safety guardrails on every AI-generated response
Maintain HIPAA-compliant audit trails for all AI interactions
Protect patient-facing chatbots from prompt injection attacks
Deploy on-premise to meet the strictest data residency requirements
Apply role-based AI policies for clinicians, staff, and patients
Detect and block unsafe medical advice before it reaches patients
Generate compliance reports ready for HIPAA and HITECH audits
Healthcare AI Security FAQ
How does FirewaLLM help healthcare organizations achieve HIPAA compliance for AI applications?+
FirewaLLM enforces data handling policies at the AI traffic layer. Every prompt and response is scanned for Protected Health Information (PHI) before it reaches the LLM or is returned to the user. Policies can be configured to redact, block, or encrypt PHI in transit. Combined with immutable audit logs, access controls, and encryption at rest, FirewaLLM provides the technical safeguards HIPAA requires for electronic PHI — applied specifically to generative AI workflows.
Can FirewaLLM prevent patient data from being sent to third-party LLM providers?+
Yes. FirewaLLM inspects every outbound request before it leaves your infrastructure. Our PHI detection engine identifies patient names, medical record numbers, dates of birth, diagnoses, and other HIPAA identifiers in real time. Matching content is automatically redacted or the request is blocked entirely, ensuring no patient data is transmitted to external model providers like OpenAI or Anthropic.
Is FirewaLLM suitable for clinical decision support AI systems?+
Absolutely. Clinical decision support systems carry elevated risk because their outputs influence patient care. FirewaLLM adds a safety layer that validates model responses against configurable guardrails — flagging outputs that contain unsupported clinical claims, contraindicated drug interactions, or language that could be misinterpreted as a definitive diagnosis. This does not replace clinical validation, but it adds an automated safety net.
How does FirewaLLM handle AI-powered patient chatbots in healthcare?+
Patient-facing chatbots are high-risk interfaces because they interact directly with individuals who may share sensitive health information. FirewaLLM monitors both directions: it prevents the chatbot from soliciting unnecessary PHI, and it filters model responses to ensure they do not include unauthorized medical advice, disclose other patients' information, or deviate from approved conversational boundaries.
Does FirewaLLM integrate with existing EHR systems and healthcare IT infrastructure?+
FirewaLLM deploys as a proxy layer that sits between your AI application and the LLM provider, so it integrates with any architecture. For EHR systems like Epic, Cerner, or Meditech that use AI features, FirewaLLM intercepts API traffic without requiring changes to the EHR itself. It also supports on-premise deployment for organizations that cannot route traffic through external services.
What audit and reporting capabilities does FirewaLLM provide for healthcare compliance?+
Every AI interaction processed by FirewaLLM generates a detailed audit record including timestamps, user identity, the full prompt and response (or redacted versions), PHI detection results, and policy decisions. These logs are immutable and exportable to your compliance platform or SIEM. Built-in reporting templates cover HIPAA Security Rule requirements, breach risk assessments, and AI usage analytics for compliance officers.
Secure healthcare AI
with confidence.
Deploy FirewaLLM to protect patient data, enforce clinical safety standards, and maintain HIPAA compliance across every AI application in your healthcare organization.