The integration of Generative AI into clinical workflows, medical scribing, and patient diagnostics offers unprecedented efficiency. However, healthcare organizations cannot simply hand raw API keys to developers and hope that Protected Health Information (PHI) stays out of prompts.
Hyperion serves as the necessary, mathematically verifiable firewall between your clinical applications and the public models.
Zero-Trust Prompt Sanitization
Developers make mistakes. Even well-designed applications can accidentally leak patient names, addresses, or diagnosis codes into an LLM prompt. Hyperion intercepts every outbound request and runs an inline, sub-millisecond sanitization pipeline.
01. Deterministic Masking
Configure strict pattern-matching engines to instantly replace social security numbers, dates of birth, and email addresses with <REDACTED_PII> tokens.
02. Semantic Redaction
A fast, local Presidio-like engine scans the prompt's context to identify unstructured names and conditions, masking them without sending data out of network.
03. Provider Whitelisting
Hardcode policies across your organization that strictly forbid routing sensitive prompts to any model provider that has not signed a BAA (Business Associate Agreement).
04. Immutable Audits
Export standard-compliant, WORM (Write Once, Read Many) logs directly to your SIEM, outlining exactly who accessed which model, with what prompt, at what time.
"Hyperion allowed us to roll out our AI medical scribe tool 6 months ahead of schedule. The Infosec team was satisfied because Hyperion guaranteed that no PHI could ever reach OpenAI's servers."— Chief Medical Information Officer, Top-10 US Hospital
Complete Deployment Sovereignty
For the most restrictive environments, Hyperion offers unparalleled deployment flexibility. You can deploy our compiled Go binary directly into your managed Kubernetes environment. Better yet, Hyperion supports completely air-gapped deployments, allowing you to route traffic seamlessly between local VLLM instances without a single byte of telemetry leaving your walls.
Healthcare Security FAQs
Detailed answers about compliance, PII, and deployment.
Hyperion uses a dual-layered approach. First, deterministic RegEx patterns capture known entity formats (SSNs, phone numbers, standard Medical Record Numbers). Second, a high-speed local NLP model scans for unstructured semantic leaks (like 'The patient, John Smith, presented with...') and masks them before the payload ever reaches an external provider.
Ready to bulletproof your AI stack?
Hyperion provides instant, out-of-the-box active-passive failover and circuit breaking for all major model providers without changing your application code.