ABS Core
Use Cases

Use Case: Healthcare Diagnostic Agent

Enforcing HIPAA compliance, PII redaction, and semantic guardrails for medical AI

Governing Healthcare AI Agents

This guide demonstrates how ABS Core protects healthcare organizations (hospitals, telehealth startups, and clinics) deploying AI for patient triage and diagnostic assistance, ensuring strict adherence to HIPAA and localized health data protection laws.

The Problem

A conversational AI agent handling patient symptoms might:

  1. Leak Personally Identifiable Information (PII) or Protected Health Information (PHI) to public LLM APIs.
  2. Suffer from prompt injections aiming to extract medical records of other patients.
  3. Overstep its bounds by offering concrete medical diagnoses rather than triage sorting, incurring immense liability.

The Solution: Split-Core Governance & PII Redaction

With ABS Core, we define a Policy Pack prioritizing data sanitization and strict semantic intent limits.

1. Define the Policy for PII Masking & Semantic Guardrails

We create a JSON policy contract loaded directly into the Kernel layer.

// healthcare-triage.js
{
  "agent_id": "triage-bot-v2",
  "rules": [
    {
      "rule": "block_diagnostic_intent",
      "condition": "event.intent == 'medical_diagnosis'",
      "action": "DENY",
      "reason": "Agent is restricted to triage only. Cannot diagnose."
    },
    {
      "rule": "redact_phi",
      "condition": "contains_pii(event.payload.text)",
      "action": "MUTATE", // Intercepts and alters the prompt
      "mutation_type": "mask_entities",
      "reason": "HIPAA Compliance: Masking patient identities before LLM egress"
    }
  ]
}

2. The Run-time Effect

When the agent sends:

"Patient John Doe (DOB: 12/04/1980) presents with severe chest pain."

ABS Core intercepts (< 5ms) and mutates the payload before hitting the LLM:

"Patient [REDACTED_NAME] (DOB: [REDACTED_DATE]) presents with severe chest pain."

If the agent attempts to synthesize a diagnosis instead of routing, the CHI engine intercepts the semantic intent blocks the output.

3. Verification in the Ledger

Every modification or block is immutably logged to the on-premise Ledger for HIPAA auditing.

{
  "trace_id": "htc_v813xp",
  "verdict": "MUTATED",
  "policy": "healthcare-triage",
  "mutations_applied": ["REDACT_NAME", "REDACT_DOB"],
  "timestamp": "2026-03-12T14:22:00Z"
}

Results

  • Absolute HIPAA Compliance: PHI never leaves your secure server boundary unmasked.
  • Liability Deflection: The AI is mathematically constrained from issuing diagnoses, dropping the organization's malpractice risk profile.
  • Traceability: Ready-to-export deterministic logs for regulatory audits showcasing exactly what the AI was permitted to see and do.

Bring your medical AI into LGPD/HIPAA compliance?

See how other Healthtechs use ABS Core to shield triage agents against PHI leaks and prompt injection.

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