Healthcare & Life Sciences

AI Governance for Healthcare & HIPAA

Your clinicians want AI. Your compliance team wants HIPAA. Raidu gives you both. Deploy LLMs across clinical, operational, and research workflows with automatic PHI protection and complete audit trails.

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The Risks of Ungovern AI in Healthcare

Healthcare organizations face unique challenges when adopting AI. A single misstep can mean seven-figure fines and lost patient trust.

HIPAA Violations from AI Workflows

Staff paste patient records into ChatGPT. PHI leaks into LLM training data. Each incident is a potential $50,000+ penalty per violation, with annual caps reaching $2M per category.

PHI Exposure in LLM Prompts

Protected Health Information — names, MRNs, diagnoses, treatment plans — routinely appears in prompts sent to third-party AI models, creating unauthorized disclosures under the HIPAA Privacy Rule.

Missing Audit Trails for AI Decisions

When AI assists clinical decisions, regulators and insurers expect a clear chain of accountability. Most organizations cannot show who prompted what, when, or what the AI returned.

FDA AI/ML Guidance Alignment

The FDA's evolving framework for AI/ML-based Software as a Medical Device (SaMD) requires documented performance monitoring, change management, and real-world performance tracking.

How Raidu Solves This

Purpose-built AI governance that works the way your industry demands.

Automatic PHI Masking

Raidu detects and masks 50+ PHI entity types — patient names, MRNs, SSNs, diagnoses, medications — in real-time before prompts reach any LLM. Data never leaves your control boundary.

HIPAA-Ready Audit Logs

Every AI interaction is logged with user identity, timestamp, input/output content, policy decisions, and model used. Exportable for OCR investigations, BAA compliance, and internal audits.

Role-Based AI Access

Clinicians, researchers, and administrative staff each get different AI permissions and guardrails. Enforce least-privilege access to AI capabilities across departments.

On-Premise Deployment

Keep all AI traffic within your network. Raidu deploys on-premise or in your private cloud, ensuring PHI never traverses public internet to reach AI models.

SOC 2 Type II (pursuing)
Typically <50ms Added Latency
On-Premise Available
Input + Output Protection

Frequently Asked Questions

Does Raidu help with HIPAA compliance for AI?
Yes. Raidu provides automatic PHI detection and masking across 50+ entity types, complete audit logging of all AI interactions, role-based access controls, and on-premise deployment options. These capabilities directly address HIPAA Privacy Rule, Security Rule, and Breach Notification Rule requirements for AI workflows.
Can Raidu detect PHI in unstructured text prompts?
Yes. Raidu's PII/PHI detection engine uses NLP-based entity recognition to identify patient names, medical record numbers, Social Security numbers, diagnoses, medications, and other protected health information in free-text prompts — even when not in structured formats.
Does Raidu support BAA (Business Associate Agreement) requirements?
Raidu is designed to operate within BAA frameworks. Our on-premise deployment option means patient data never leaves your infrastructure. For cloud deployments, we execute BAAs and implement security controls aligned with the SOC 2 framework.
How does Raidu handle FDA AI/ML SaMD requirements?
Raidu provides the governance layer for AI model monitoring and change management that the FDA's predetermined change control plan framework requires. Full audit trails, performance logging, and policy versioning create the documentation trail regulators expect.
What is the latency impact on clinical AI workflows?
Raidu typically adds minimal latency to AI requests. For clinical decision support and documentation workflows, the overhead is minimal while providing full governance coverage.

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