Zero Latency NHID-CLINICAL SIMULATOR
CLINICAL AI TRUST OFFICER SIMULATOR

When AI sounds human,
identity becomes a security control.

AI voice agents now call payers, clinics, and pharmacies sounding exactly like people. When staff can't tell — and the caller doesn't say — patient data can change hands before anyone verifies who is really on the line. This simulator trains your team to catch that moment.

Impersonation latency (PDX-01) is the gap between call connection and clear non-human disclosure — and late disclosure still blocks PHI on every turn. NHID-Clinical enforces zero impersonation latency: identity must be disclosed in the first 5 seconds, before any protected health information is exchanged.

NHID-Clinical (Non-Human Identity Disclosure for clinical settings) is an open governance framework for healthcare voice agents: verify identity, enforce disclosure, and create auditable AI interactions before sensitive workflows begin.

The open simulator demonstrates NHID-Clinical controls.

This site is an interactive simulator that demonstrates the framework. It is education and demonstration — not the framework itself, and not a certification.

Step 1 · Experience

See the failure

Sit at a payer desk and watch an AI caller reveal itself too late. Nothing is scored — you just observe the problem.

Step 2 · Practice

Run the controls

Four short exercises — challenge callers, inspect credentials, audit call logs, and configure a safe agent. Terms are explained as they appear.

Step 3 · Prove

Keep the record

Scores stay in this browser and roll up into a Completion Record you can print — a training log, not a compliance certificate.

Start here · Module 0

Why does this matter?

Before learning how NHID-Clinical works, experience the governance failure it prevents. Sit at the payer desk and watch what happens when an AI voice agent discloses its identity too late.

The Identity Problem
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Select your role to see why NHID-Clinical governance matters for you. Your choice is saved in this browser only — no account required.

MODULE 1
START →
The First 5 Seconds
Your AI agent just connected to a payer. One wrong opening creates impersonation liability. Master the disclosure window.
5–8 min
Real-time timer
MODULE 2
START →
Passport Inspection
Inspect an NHID-Auth v2 passport token, compare domain and expiration signals, and reject forged provider claims.
6–9 min
Drag-and-drop validator
MODULE 3
START →
Compliance Gaps
Audit late AI disclosures, revoked passports, and escalation failures by tagging realistic call-log violations.
7–10 min
Shadow evaluation
MODULE 4
START →
Safe Agent Deployment
Configure outbound medical AI voice agents so disclosure is logic-gated before data requests or human-like artifacts.
5–7 min
Prompt-node builder
KNOWLEDGE BASE
Scenario Cards
Review NHID-Clinical risk tiers, failure modes, if-then controls, and audit fields used throughout the training flow.
Open Governance Deck
CONSOLE
Operations Console
Monitor training readiness, control-gate coverage, penalty exposure, and audit activity in one live view.
Open Operations Console
Next steps

Take it past the simulation

The controls you just exercised are defined in the open NHID-Clinical framework and published under CC BY 4.0. Run them against your own scenarios for free, or connect a real agent to the platform layer that operates them in production.

TrustLayer is the optional commercial platform layer. The specification, controls, conformance tests, and this simulator stay open and free.

View your Completion Record
These simulations follow NHID-Clinical v1.3 and NHID-Auth v2 requirements
Explore the full NHID-Clinical governance framework

The simulator demonstrates the NHID-Clinical framework — a governance model of controls, requirements, and audit expectations. It is a learning tool, not the framework or a certification.