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AI Security · Governance · Applied Research

Intelligence with Accountability.

Secure AI. Govern Every Decision. Build with Confidence.

QNE Labs develops AI security, governance, and intelligent automation technologies that help organizations understand risk, enforce controls, and build more trustworthy AI systems.

Illustration — not live telemetry
Sample sequence · mock datasee interaction.receivedunderstand signals.evaluatedcontrol decision.recorded · reviewprove evidence.appended

The challenge

AI Is Moving Faster Than Traditional Security Controls.

AI agents and autonomous workflows now read data, call tools and take actions on their own. Controls designed for static applications were not built to see — or govern — what happens at AI runtime.

Autonomous agents

Agents chain tools and act without a human in each step, widening what a single instruction can reach.

Prompt injection

Untrusted content can carry instructions that steer a model away from its intended task.

Sensitive data exposure

Confidential or regulated information can surface in prompts, outputs and tool calls.

Weak runtime oversight

Without a record of what the AI saw and did, decisions are hard to review, explain or defend.

How we approach AI security

Flagship technology · Kavrent / ARIA

Working name · pending trademark clearance

Security and Governance for AI in Motion.

Development status: Working Prototype — Validation in Progress

Kavrent is AI runtime security and governance technology designed to help organizations detect suspicious AI interactions, evaluate security policies, support enforcement, and preserve auditable security evidence.

It evolved from the ARIA Runtime Guardrails project. End-to-end enforcement and production performance have not yet been independently verified.

Conceptual framework — not production-validated
  1. 01SEE
  2. 02UNDERSTAND
  3. 03CONTROL
  4. 04PROVE

01 — SEE

Observe AI activity and interactions.

Designed to make prompts, responses, tool calls and agent actions visible as they happen.

Technology ecosystem

One accountable foundation, four technologies.

Status labels reflect each technology’s current stage of development. None is production-certified or commercially deployed.

Development status: 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.

View product: Kavrent / ARIA
Development status: Research & Prototype Development

MedSynapse / Legal AI

Intelligent Legal Workflow Assistance

AI assistance for reviewing, organizing and working through legal documents and workflows, with traceability.

View product: MedSynapse / Legal AI
Development status: Prototype Development

Revenue Intelligence

AI-Driven Business & Revenue Automation

Automation that connects business data and workflows to support revenue operations.

View product: Revenue Intelligence
Development status: 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.

View product: Connector as a Service

Research & innovation

Where Applied AI Research Meets Enterprise Accountability.

QNE Labs is an innovation laboratory developing and validating secure AI architectures, runtime guardrails, intelligent agents and enterprise integration technology.

  • Secure AI architectures
  • Runtime guardrails
  • Intelligent agents
  • Enterprise integration

Founder

Eric Gant

Founder, Quantum Neuro Edge LLC

Eric Gant brings more than ten years of Microsoft data protection and enterprise security experience to QNE Labs. His work spans applied AI development, AI governance and security engineering — the disciplines that shape how QNE Labs approaches runtime security for AI systems.

Free resource

The AI Agent Security Checklist

A practitioner checklist covering agent inventory, permissions, prompt injection, sensitive data, runtime policy, audit evidence and incident response.

Use the checklist

Ready to Build AI You Can Trust?

Tell us about your AI systems and the risks you’re working to control.