Secure AI architectures
Patterns for building AI systems whose behavior can be observed, constrained and audited.
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.
Applied AI research
Research focus areas
Runtime guardrails
Inspection and policy evaluation applied to live AI interactions — the foundation of ARIA and Kavrent.
Intelligent agents
Agent designs that pair autonomy with explicit permissions, approvals and records.
Enterprise integration
Least-privilege, policy-aware connections between AI systems and enterprise tools.
Publications
Articles, demonstrations and updates
This library will grow as research is reviewed and approved for publication.
Technical articles
Write-ups on AI runtime security, guardrail design and governance engineering.
No articles have been published yet.
Security architecture demonstrations
Reference architectures and diagrams for secure AI systems, agent controls and enterprise integration.
No architecture demonstrations have been published yet.
Research demonstrations
Recorded prototype walkthroughs, clearly labeled as demonstrations using sample data.
No research demonstrations have been published yet.
Product research & development
Progress notes on Kavrent / ARIA and the wider QNE Labs portfolio as validation advances.
No development updates have been published yet.
How we publish
Research publication principles
- We describe methods and limitations alongside results.
- Demonstration data is always labeled and never presented as live security telemetry.
- We do not publish performance or detection figures that have not been validated.
- Prototype capabilities are distinguished from independently verified ones.
Collaboration
Interested in research collaboration?
We welcome conversations with organizations exploring secure AI architectures and runtime governance.
See the research in practice.
Request a demonstration of the Kavrent / ARIA prototype with clearly labeled sample data.