HIPAA Compliant PII/PHI Redaction for AI Agents

When deploying AI agents in healthcare environments using the Model Context Protocol (MCP), patient data is at high risk. Standard LLM tool invocations send raw JSON strings directly to external models. If an agent accesses a medical database or patient record, raw Protected Health Information (PHI) is streamed out of your network, triggering immediate HIPAA violations.

Panovista eliminates this risk by acting as a zero-knowledge Layer 7 firewall directly in front of your internal MCP servers.

Inline Token Swapping & Zero-Database Architecture

Using ultra-fast regular expressions and context-aware scanning compiled into a lock-free Go engine, Panovista identifies PHI in-flight.

It caches the raw data (like names, SSNs, and medical IDs) inside volatile, ephemeral container memory and replaces it with synthetic placeholder tokens before forwarding the request to the external LLM.

Because Panovista uses volatile memory and compiles to a strict scratch Docker image, no PHI is ever written to disk or an external database. The true data is reverse-injected only on the secure return path back to the authorized user’s screen, ensuring total HIPAA compliance without slowing down agent execution.

HIPAA Privacy Rule Enforcement (Automated Redaction)

By deploying Panovista as a proxy sidecar, organizations can strictly enforce the Minimum Necessary Standard. Below is an example policy demonstrating how Panovista intercepts an MCP tool payload and redacts PHI before it traverses the public internet:

PHI Redaction Schema

{
  "version": "1.0",
  "target_tool": "fetch_patient_record",
  "action": "redact",
  "rules": [
    {
      "field": "patient_name",
      "type": "semantic",
      "intent": "person_name",
      "replacement_token": "[PATIENT_NAME_REDACTED]"
    },
    {
      "field": "social_security",
      "type": "regex",
      "pattern": "^\\d{3}-\\d{2}-\\d{4}$",
      "replacement_token": "[SSN_REDACTED]"
    }
  ]
}