Solution area

Healthcare AI

Healthcare organizations see clear value in AI for documentation, operations and patient communication — and carry heightened obligations for the health information those systems may touch, under regulations such as HIPAA.

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The challenge

What makes AI risk different here

Protected information in prompts

Clinical and patient details can enter AI systems through prompts, documents and integrations.

Accountability for outputs

AI-assisted content needs review paths and records appropriate to clinical and administrative settings.

Vendor and data-flow complexity

Understanding where data travels across models and providers is a prerequisite for governing it.

Our approach

How QNE Labs approaches it

Map how health information could reach AI systems and providers
Apply sensitive-data detection and policy at runtime
Keep human review and audit records in AI-assisted workflows
Work alongside your compliance and legal teams on obligations

This is a solution area QNE Labs is designing for. It describes our focus and approach, not existing customer deployments.

Working Prototype — Validation in Progress

Kavrent / ARIA

AI Runtime Security & Governance

Designed to detect suspicious AI interactions, evaluate security policies, support enforcement and preserve auditable security evidence.

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Working Prototype — Integration Testing

Connector as a Service

Secure Enterprise AI Integrations

Governed connections between AI systems and the enterprise tools and data they rely on.