HIPAA Compliance

The Challenge: AI in Healthcare

Healthcare organizations are increasingly using AI and LLMs to improve patient care, streamline operations, and enhance clinical decision-making. But with AI adoption comes a critical question: how do you track costs and monitor usage while maintaining HIPAA compliance?

Traditional observability tools require proxying your LLM traffic through their servers. This means patient data, clinical notes, and other protected health information (PHI) flows through third-party infrastructure. Even with a BAA in place, this creates significant risk and compliance burden.

Our Solution: Privacy by Architecture

InfraPrism takes a fundamentally different approach. Our SDK runs entirely within your environment and never transmits prompts, completions, or any content to our servers. We only receive metadata:

• Token counts (input and output)
• Model identifier
• Request latency
• Calculated cost
• Your entity tags (which you control)

Because we never see or store PHI, we're compliant by design—not just by policy. This eliminates the risk of PHI exposure through our systems entirely.

Business Associate Agreement

While our architecture means we technically don't handle PHI, we understand that enterprise healthcare organizations often require a BAA as part of their vendor management processes. Enterprise customers can request a BAA that documents our privacy-first architecture and commits to maintaining these protections.

Implementation Best Practices

When using InfraPrism in healthcare environments, we recommend:

1. Entity tags: Use de-identified entity IDs rather than patient names or MRNs
2. Custom tags: Avoid including PHI in custom metadata tags
3. Access controls: Limit dashboard access to authorized personnel
4. Audit logging: Enterprise plans include full audit logs for compliance reporting