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45 CFR Part 160 + 164

AI safety + compliance for healthcare

The eval + guardrail + red-team + audit platform purpose-built for AI workloads that touch PHI. Eliminate hallucinations on clinical decision support, redact PHI before it reaches third-party LLMs, generate the audit trail your auditors and payers expect.

245
Scorers
77
LLM providers
348
Red-team plugins
3.67ms
Firewall p95
Clinician in a white coat with a stethoscope using a mobile device
Healthcare45 CFR Part 160 + 164

What ships today

Honest posture, not roadmap promises

Every checked item is in production today. In-progress items are flagged explicitly, and anything needing an auditor we have not engaged is marked not commissioned — no overclaiming, no vapor.

HIPAA-aligned technical safeguards (§164.312)
HIPAA-aligned administrative safeguards (§164.308)
AI-specific HIPAA controls (6 categories mapped)
Breach Notification Rule flow (§164.400-414)
Privacy Rule controls (§164.500-534)
BAA available after HIPAA attestation (targeted Q2 2027)Not commissioned
Third-party HIPAA attestation — not commissioned (no firm engaged)Not commissioned

Built for buyer reality

Healthcare AI use cases we ship for

Chart summarization + clinical handoff

AI summarizes a patient chart for a covering clinician at shift change. PHI must stay inside the workload; summaries must not hallucinate a diagnosis or medication that isn't in the record.

EvalGuard features

  • PHI firewall: redacts SSN / MRN / DOB / patient name from logs by default
  • Hallucination scorer: faithfulness check against the source chart
  • Output guardrail: block mode rejects responses introducing un-cited claims
  • Audit log: every summary logged with clinician + patient resource_id for §164.312(b)

Patient-facing triage chatbot

Public-internet chatbot collects symptoms + routes patients to the right service. Cannot output medication dosing, cannot impersonate a clinician, cannot leak prior patients' PHI.

EvalGuard features

  • Prompt-injection defense: 300+ attack plugins catch jailbreak attempts trying to extract prior sessions
  • Output toxicity + medical-advice scorers flag responses crossing into clinical advice
  • Per-route rate limits prevent enumeration attacks against the symptom-collection endpoint
  • Consent gates at /api/v1/privacy/consent — refuses LLM call when subject withdraws

Prior-authorization automation

AI drafts prior-auth letters from claims + chart data, then a human reviews + signs. PHI flows through multiple LLM calls; cost + audit trail per claim must be perfect for payer disputes.

EvalGuard features

  • Gateway cost ledger: per-claim USD attribution + per-tenant daily budget cap
  • Tamper-evident audit log (integrity_hash + advisory-lock concurrency) for payer dispute defense
  • BYOK provider keys: routes through Vault-stored credentials, never logged
  • Multi-model routing with quality-cost strategy — cheapest model meeting accuracy threshold

Voice telemedicine guardrails

Live voice consult between clinician + patient is transcribed + summarized in real-time. Need voice-clone detection, barge-in latency under 250ms, deepfake guard on patient identity verification.

EvalGuard features

  • Voice-clone + deepfake guardrails on the realtime voice control plane
  • Per-turn voice DLP at /api/v1/voice/guard-turn — spoken or keypad card numbers blocked before the model sees them
  • Barge-in latency budget enforceable with per-chunk stream scanning
  • Every verification attempt logged with signals for clinical review

Wire it in 60 seconds

Wrap your OpenAI client. Get PHI guardrails for free.

PHI firewall rules + clinical-faithfulness scorers + tamper-evident audit retention are configured once in the EvalGuard control plane. Your code only wraps the client.

typescript
import OpenAI from "openai";
import { wrapOpenAI, EvalGuardViolationError } from "@evalguard/openai";

const openai = wrapOpenAI(new OpenAI(), {
  apiKey: process.env.EVALGUARD_API_KEY!,
  projectId: "phi-chart-summary",
  metadata: { vertical: "healthcare", hipaa: true },
  blockOnViolation: true,                  // refuse PHI-leaking prompts
  evalOnResponse: { failOnScore: 0.7 },    // clinical-faithfulness gate
  onViolation: (r) => alertSecOps(r.violations),
});

try {
  await openai.chat.completions.create({
    model: "gpt-4o",
    messages: [{ role: "user", content: chartSummaryPrompt }],
  });
} catch (err) {
  if (err instanceof EvalGuardViolationError) {
    // Block landed in the tamper-evident audit trail. Replay via audit ID.
  }
}
Firewall PHI patterns + scorer thresholds + retention live in the EvalGuard control plane — set once per project, no SDK calls needed.
Same integration for Anthropic, Gemini, and 90+ providers — swap wrapOpenAI for wrapAnthropic.

Ready to ship clinical AI you can defend?

The Free plan includes the PHI firewall; the full HIPAA control mapping and audit log are on Team. BAA available after our HIPAA attestation (targeted Q2 2027) — register interest at legal@evalguard.ai.

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